魏爽
(0)

基本信息

  • 性别：女
  • 聘任技术职务：副教授
  • 学历：博士研究生毕业
  • 联系电话：
  • 电子邮箱：weishuang@shnu.edu.cn
  • 通讯地址：
  • 部门：信息与机电工程学院
  • 学位：工学博士学位
  • 毕业院校：加拿大卡尔加里大学
  • 办公地址：

研究方向

研究方向：

研究方向：1. 信号参数估计，通信信号处理，语音信号处理；

                    2. 稀疏优化，压缩感知，数据挖掘；

                    3. 目标定位，无线定位。

教育背景：2005年获得华中科技大学双学士学位，2007年获得华中科技大学硕士学位，2011年获得加拿大University of Calgary博士学位

工作经历：2012-2017年任职河海大学，曾任河海大学副教授，2017年起任职上海师范大学副教授；2021-2022年在上海交通大学进行访问和学术交流。

教学经历：国家级一流本科课程负责人，第三届上海市高校教师教学创新大赛二等奖（新工科组）获得者，第四届全国高校混合式教学设计创新大赛“设计之星”奖获得者。曾获得上海师范大学青年教师教学竞赛一等奖（2019年），获得上海师范大学“党史”党课竞赛（教师支部书记组）三等奖（2021年），校混合式教学设计创新大赛一等奖（2022年），获得校教学设计创新大赛特等奖（2022年）。作为指导老师指导多项国家级、市级大创项目、数学建模竞赛等。

科研项目：

1. 国家自然科学基金青年项目，基于稀疏优化的空时分布密集多径信号估计方法研究，2015/01-2017/12，主持；

2. 上海市自然科学基金面上基金，基于离格稀疏优化的移动场景下空时密集信号估计方法研究，2019/07-2022/06，主持；

3. 国家自然科学基金面上项目，基于稀疏优化的雷达风力涡轮机杂波抑制方法研究，2018/01-2021/12， 参与；

4. 江苏省自然科学基金青年项目，空时相关密集信号超分辨方法研究，2014/07-2017/06， 主持；

5. 江苏省自然科学基金面上项目，调频广播外辐射源雷达关键技术研究，2015/07-2018/06， 参加；

6. 中央高校基本科研业务费项目，2014-2016，主持；

7. 留学人员科技活动项目择优资助项目，2012-2013，主持。

主要论文：

1. S. Wei，H. Pan，D. He*，L. Tian; A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme, Signal Processing, 2023.

2. H. Pan; S. Wei*; A DOA and TOA joint estimation algorithm based on deep transfer learning, Electronics Letters, 2023.

3. S. Wei*, J Lu;Weighted sparse Bayesian method for direction of arrival estimation based on grid fission, IET Signal processing, 2023.

4.  S. Wei; R. Liu; P. Xu; Y. Long; C. Yang; J. Ying ; A Sparse Optimisation Method based on Cross-Correlation Function for Chirp Signals, Electronics Letters, 58(3): 127-129, 2022. 

5. S. Wei，Y. Long，R. Liu, Y. Su, A Two-Step Compressed Sensing Approach for Single-Snapshot DOA Estimation of Closely Spaced Signals, Mathematical Problems in Engineering, 2021.

6. S. Wei; W. Li; Y. Su; R. Liu; Off-grid Sparse Bayesian Inference with Biased Total Grids for Dense Time Delay Estimation[J]，Journal of Shanghai Jiao Tong University (Science), June. 2022 (Online).

7. S. Wei，Defu Jiang and Feng Wang,  A New Multiobjective Genetic Programming Approach using Compromise Distance Ranking for Automated Design of Nonlinear System Design”，Journal of Intelligent and Fuzzy Systems, v.31, pp. 601-611, 2016. 
8.  S. Wei and H. Leung, A Markov Random Field Approach for Sidescan Sonar Change Detection, IEEE Journal of Oceanic Engineering, vol. 37, no. 4, pp: 659 -669, 2012. 
9. S. Wei and H. Leung, Compromise Rank Genetic Programming for Automated Nonlinear Design of Disaster Management”，Mathematical Problems in Engineering, vol. 2015, April 2015. 

10. S. Wei*, F. Wang and D. Jiang, Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation, 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC), Banff, AB, Canada, 2019, pp. 200-205.

学术成果（以下信息源于科研管理系统）

学术成果：
论文
  • [1] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [3] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [4] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [5] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [6] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [7] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [8] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [9] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [10] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [11] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [12] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [13] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [14] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [15] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [16] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [17] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [18] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [19] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [20] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [21] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [22] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [23] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [24] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [25] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [26] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [27] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [28] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [29] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [30] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [31] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [32] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [33] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [34] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [35] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [36] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [37] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [38] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [39] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [40] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [41] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [42] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [43] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [44] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [45] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [46] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [47] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [48] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [49] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [50] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [51] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [52] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [53] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [54] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [55] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [56] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [57] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [58] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [59] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [60] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [61] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [62] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [63] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [64] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [65] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [66] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [67] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [68] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [69] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [70] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [71] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [72] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [73] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [74] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [75] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [76] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [77] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [78] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [79] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [80] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [81] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [82] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [83] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [84] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [85] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [86] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [87] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [88] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [89] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [90] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [91] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [92] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [93] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [94] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [95] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [96] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [97] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [98] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [99] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [100] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [101] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [102] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [103] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [104] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [105] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [106] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [107] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [108] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [109] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [110] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [111] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [112] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [824] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [825] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [827] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [828] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [829] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [830] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [833] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [835] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [839] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [840] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [847] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [850] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [851] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [854] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [855] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [856] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [859] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
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  • [863] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [868] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
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  • [870] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [871] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [872] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [874] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [884] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [886] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [889] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [893] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [895] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [896] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [897] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [898] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [899] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [900] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [901] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [902] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [904] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [905] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [907] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [909] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [910] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [911] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [912] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [914] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [915] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [916] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [917] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [918] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [919] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [920] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [921] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [922] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
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  • [927] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [930] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [935] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [936] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [937] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [944] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [948] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [949] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [950] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [951] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [952] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
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  • [958] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [959] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [960] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [961] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [966] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [967] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [968] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [969] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [970] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [971] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [972] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [973] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [974] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [975] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [976] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [977] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [978] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [979] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [980] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [981] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [982] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [983] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [984] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [985] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [986] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [987] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [988] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [989] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [990] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [991] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [992] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [993] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [994] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [995] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [996] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [997] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [998] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [999] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1000] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1001] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1002] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1003] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1004] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1005] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1006] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1007] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1008] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1009] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1010] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1011] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1012] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1013] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1014] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1015] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1016] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1017] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1018] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1019] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1020] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1021] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1022] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1023] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1024] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1025] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1026] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1027] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1028] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1029] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1030] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1031] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1032] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1033] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1034] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1035] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1036] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1037] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1038] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1039] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1040] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1041] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1042] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1043] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1044] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1045] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1046] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1047] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1048] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1049] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1050] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1051] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1052] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1053] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1054] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1055] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1056] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1057] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1058] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1059] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1060] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1061] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1062] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1063] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1064] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1065] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1066] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1067] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1068] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1069] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1070] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1071] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1072] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1073] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1074] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1075] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1076] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1077] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1078] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1079] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1080] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1081] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1082] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1083] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1084] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1085] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1086] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1087] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1088] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1089] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1090] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1091] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1092] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1093] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1094] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1095] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1096] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1097] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1098] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1099] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1100] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1101] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1102] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1103] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1104] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1105] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1106] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1107] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1108] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1109] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1110] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1111] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1112] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1113] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1114] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1115] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1116] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1117] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1118] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1119] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1120] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1121] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1122] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1123] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1124] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1125] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1126] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1127] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1128] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1129] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1130] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1131] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1132] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1133] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1134] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1135] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1136] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1137] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1138] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1139] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1140] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1141] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1142] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1143] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1144] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1145] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1146] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1147] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1148] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1149] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1150] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1151] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1152] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1153] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1154] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1155] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1156] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1157] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1158] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1159] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1160] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1162] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1163] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1164] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1165] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1166] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1167] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1168] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1170] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1171] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1172] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1173] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1174] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1175] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1176] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1177] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1180] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1181] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1182] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1183] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1184] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1185] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1187] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1191] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1192] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1193] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1194] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1195] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1196] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1197] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1198] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1201] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1202] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1203] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1204] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1205] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1206] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1207] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1208] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1209] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1210] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1211] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1212] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1213] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1214] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1215] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1216] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1217] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1218] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1219] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1220] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1221] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1222] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1223] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1224] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1225] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1226] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1227] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1228] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1229] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1230] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1231] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1232] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1233] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1234] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1236] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1237] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1244] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1245] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1246] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1247] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1249] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1250] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1251] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1252] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1253] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1254] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1255] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1256] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1257] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1258] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1259] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1260] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1261] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1262] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1263] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1264] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1265] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1266] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1267] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1268] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1269] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1270] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1271] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1272] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1273] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1280] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1281] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1282] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1283] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1284] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1287] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1288] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1289] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1291] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1292] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1293] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1294] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1295] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1296] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1297] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1298] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1299] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1300] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1301] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1302] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1303] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1304] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1305] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1306] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1307] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1308] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1309] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1311] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1312] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1314] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1315] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1316] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1317] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1318] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1321] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1322] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1323] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1324] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1325] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1330] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1331] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1332] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [1342] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1345] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1346] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1347] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1348] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1351] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1363] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1368] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1384] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1385] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1386] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1387] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1388] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1389] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1390] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1391] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1392] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1393] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1394] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1395] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1396] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1397] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1398] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1399] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1400] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1401] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1402] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1403] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1404] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1405] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1406] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1407] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1408] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1409] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1410] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1411] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1412] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1413] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1414] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1415] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1416] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1417] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1418] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1419] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1420] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1421] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1422] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1423] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1424] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1425] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1426] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1427] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1428] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1429] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1430] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1431] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1432] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1433] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1434] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1435] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1436] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1437] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1438] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1439] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1440] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1441] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1442] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1443] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1444] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1445] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1446] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1447] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1448] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1449] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1450] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1451] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1452] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1453] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1454] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1455] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1456] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1457] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1458] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1459] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1460] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1461] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1462] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1463] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1464] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1465] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1466] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1467] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1468] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1469] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1470] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1471] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1472] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1473] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1474] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1475] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1476] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1477] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1478] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1479] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1480] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1481] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1482] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1483] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1484] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1485] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1486] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1487] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1488] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1489] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1490] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1491] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1492] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1493] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1494] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1495] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1496] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1497] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1498] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1499] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1500] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1501] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1502] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1503] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1504] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1505] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1506] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1507] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1508] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1509] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1510] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1511] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1512] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1513] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1514] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1515] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1516] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1517] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1518] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1519] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1520] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1521] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1522] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1523] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1524] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1525] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1526] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1527] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1528] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1529] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1530] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1531] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1532] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1533] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1534] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1535] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1536] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1537] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1538] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1539] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1540] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1541] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1542] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1543] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1544] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1545] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1546] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1547] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1548] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1549] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1550] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1551] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1552] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1553] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1554] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1555] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1556] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1557] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1558] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1559] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1560] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1561] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1562] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1563] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1564] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1565] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1566] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1567] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1568] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1569] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1570] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1571] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1572] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1573] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1574] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1575] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1576] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1577] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1578] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1581] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1582] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1583] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1584] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1585] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1586] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1587] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1589] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1590] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1591] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1592] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1593] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1594] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1595] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1596] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1597] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1598] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1599] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1600] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1601] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1602] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1603] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1604] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1605] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1606] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1607] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1608] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1609] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1610] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1611] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1612] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1613] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1614] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1615] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1616] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1617] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1618] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1619] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1620] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1621] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1622] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1623] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1624] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1625] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1626] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1627] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1628] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1629] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
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  • [1631] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1632] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1633] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1634] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1636] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1637] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1638] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1639] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1640] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1641] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1642] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1643] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1645] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1646] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1647] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1649] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1650] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1651] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1652] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1653] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1654] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1655] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1656] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1657] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1658] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1661] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1662] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [1664] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1665] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [1669] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1670] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1672] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1675] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1679] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [1681] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
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  • [1686] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1688] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1689] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1697] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1702] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1703] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1704] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1705] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1706] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1707] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1708] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1709] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1710] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1711] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1712] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1713] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1714] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1715] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1716] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1717] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1718] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1719] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1720] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1721] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1722] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1723] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1724] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1725] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1726] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1727] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1728] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1729] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1730] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1731] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1733] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [1736] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1737] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1740] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1744] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1745] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1749] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1750] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1751] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1752] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [1761] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [1771] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1772] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [1785] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1786] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [1794] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1795] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1796] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [1800] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1801] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1802] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1803] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1804] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1805] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1806] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1807] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1808] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1809] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1810] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1811] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1812] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1813] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1814] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1815] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1816] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1817] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1818] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1819] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1820] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1821] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1822] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1823] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1824] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1825] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1826] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1827] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1828] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1829] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1830] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1831] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1832] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1833] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1834] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1835] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1836] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1837] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1838] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1839] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1840] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1841] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1842] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1843] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1844] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1845] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1846] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1847] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1848] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1849] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1850] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1851] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1852] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1853] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1854] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1855] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1856] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1857] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1858] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1859] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1860] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1861] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1862] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1863] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1864] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1865] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1866] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1867] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1868] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1869] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1870] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1871] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1872] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1873] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1874] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1875] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1876] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1877] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1878] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1879] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1880] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1881] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1882] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1883] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1884] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1885] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1886] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1887] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1888] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1889] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1890] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1891] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1892] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1893] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1894] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1895] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1896] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1897] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1898] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1899] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1900] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1901] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1902] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1903] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1904] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1905] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1906] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1907] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1908] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1909] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1910] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1911] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1912] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1913] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1914] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1915] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1916] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1917] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1918] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1919] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1920] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1921] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1922] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1923] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1924] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1925] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1926] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1927] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1928] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1929] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1930] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1931] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1932] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1933] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1934] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1935] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1936] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1937] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1938] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1939] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1940] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1941] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1942] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1943] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1944] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1945] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1946] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1947] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1948] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1949] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1950] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1951] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1952] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1953] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1954] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1955] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1956] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1957] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1958] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1959] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1960] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1961] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1962] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1963] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1964] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1965] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1966] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1967] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1968] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1969] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1970] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1971] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1972] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1973] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1974] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1975] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [1976] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1977] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1978] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1979] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [1980] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1981] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1982] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [1983] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1984] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [1985] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [1986] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1987] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1988] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [1989] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1990] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1991] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1992] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1993] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1994] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [1995] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [1996] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [1997] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [1998] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [1999] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2000] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2001] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2002] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2003] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2004] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2005] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2006] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2007] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2008] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2009] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2010] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2011] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2012] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2013] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2014] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2015] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2016] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2017] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2018] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2019] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2020] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2021] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2022] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2023] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2024] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2025] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2026] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2027] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2028] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2029] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2030] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2031] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2032] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
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  • [2036] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2037] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2038] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2039] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2040] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2041] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [2054] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2055] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
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  • [2058] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2059] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
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  • [2090] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2091] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2092] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2093] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2094] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2095] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2096] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2097] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2098] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2099] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2100] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2101] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2102] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2103] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2104] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2105] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2106] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2107] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2108] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2109] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2110] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2111] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2112] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2113] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2114] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2115] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2116] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2117] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2118] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2119] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2120] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2121] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2122] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2123] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2124] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2125] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2126] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2127] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2128] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2129] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2130] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2131] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2132] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2133] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2134] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2135] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2136] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2137] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2138] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2139] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2140] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2141] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2142] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2143] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2144] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2145] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2146] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2147] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2148] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2149] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2150] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2151] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2152] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2153] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2154] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2155] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2156] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2157] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2158] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2159] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2160] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2161] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2162] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2163] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2164] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2165] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2166] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2167] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2168] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2169] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2170] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2171] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2172] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2173] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2174] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2175] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2176] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2177] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2178] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2179] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2180] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2181] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2182] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2183] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2184] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2185] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2186] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2187] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2188] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2189] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2190] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2191] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2192] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2193] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2194] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2195] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2196] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2197] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2198] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2199] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2200] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2201] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2202] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2203] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2204] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2205] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2206] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2207] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2208] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2209] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2210] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2211] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2212] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2213] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2214] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2215] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2216] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2217] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2218] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2219] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2220] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2221] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2222] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2223] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2224] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2225] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2226] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2227] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2228] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2229] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2230] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2231] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2232] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2233] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2234] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2235] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2236] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2237] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2238] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2239] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2240] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2241] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2242] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2243] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2244] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2245] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2246] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2247] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2248] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2249] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2250] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2251] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2252] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2253] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2254] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2255] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2256] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2257] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2258] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2259] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2260] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2261] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2262] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2263] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2264] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2265] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2266] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2267] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2268] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2269] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2270] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2271] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2272] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2273] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2274] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2275] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2276] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2277] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2278] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2279] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2280] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2281] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2282] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2283] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2284] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2285] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2286] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2287] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2288] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2289] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2290] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2291] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2292] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2293] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2294] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2295] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2296] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2297] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2298] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2299] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2300] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2301] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2302] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2303] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2304] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2305] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2306] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2307] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2308] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2309] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2310] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2311] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2312] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2313] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2314] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2315] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2316] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2317] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2318] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2319] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2320] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2321] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2322] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2323] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2324] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2325] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2326] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2327] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2328] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2329] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2330] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2331] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2332] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2333] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2334] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2335] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2336] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2337] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2338] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2339] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2340] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2341] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2342] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2343] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2344] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2345] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2346] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2347] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2348] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2349] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2351] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2352] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2353] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2356] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2357] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2358] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2359] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2360] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2361] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2362] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2363] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2364] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2365] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2366] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
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  • [2371] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
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  • [2374] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2375] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2376] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2377] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2378] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2379] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2384] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2385] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2386] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2387] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2390] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2392] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2393] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2394] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2397] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2398] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2399] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2400] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2401] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2402] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2403] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2404] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2405] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2406] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2407] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2408] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2409] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2410] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2411] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2412] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2413] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2414] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2415] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2416] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2417] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2418] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2419] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2420] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2421] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2422] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2423] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2424] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2425] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2426] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2427] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2428] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2429] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2430] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2431] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2432] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2433] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2434] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2435] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2436] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2437] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2438] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2439] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2440] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2441] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [2443] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2444] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2445] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2446] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2452] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2453] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2454] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2455] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2456] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2461] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2462] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2463] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2464] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2465] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2466] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2467] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2468] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2469] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2470] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2471] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2472] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [2474] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
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  • [2477] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2478] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2479] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2480] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2481] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2482] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2484] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2485] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2486] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2487] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2488] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
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  • [2490] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2491] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
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  • [2493] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2494] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
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  • [2502] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2503] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2504] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2505] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2506] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2507] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2508] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
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  • [2510] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2511] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2512] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2513] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2514] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2515] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2516] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2517] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2518] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2519] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2520] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2521] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2522] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2523] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2524] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2525] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2526] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2527] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2528] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2529] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2530] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2531] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2532] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2533] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2534] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2535] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2536] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2537] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2538] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2539] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2540] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2541] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2542] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2543] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2544] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2545] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2546] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2547] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2548] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2549] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2550] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2551] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2552] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2553] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2554] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2555] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2556] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2557] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2558] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2559] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2560] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2561] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2562] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2563] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2564] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2565] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2566] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2567] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2568] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2569] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2570] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2571] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2572] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2573] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2574] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2575] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2576] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2577] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2578] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2579] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2580] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2581] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2582] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2583] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2584] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2585] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2586] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2587] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2588] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2589] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2590] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2591] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2592] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2593] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2594] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2595] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2596] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2597] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2598] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2599] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2600] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2601] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2602] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2603] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2604] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2605] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2606] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2607] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2608] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2609] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2610] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2611] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2612] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2613] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2614] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2615] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2616] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2617] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2618] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2619] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2620] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2621] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2622] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2623] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2624] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2625] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2626] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2627] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2628] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2629] 魏爽,杨璟安,徐朋,龙艳花. 基于贪婪稀疏优化的欠定语音肓分离方法. 计算机工程与设计,2021,42(8):2299-2307.
  • [2630] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2631] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2632] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2633] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2634] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2635] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2636] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2637] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2638] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2639] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2640] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2641] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2642] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2643] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2644] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2645] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2646] 魏爽,龙艳花,刘睿,苏颖. A two-step compressed sensing approach for single snapshot DOA estimation of highly correlated signals. MATHEMATICAL PROBLEMS IN ENGINEERING,2021,1(1):1-11.
  • [2647] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2648] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2649] 魏爽. Weighted sparse Bayesian method for direction of arrival estimation based on grid fission. IET Signal Processing,2023,17(4):1-10.
  • [2650] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2651] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2652] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
  • [2653] 魏爽. 基于两层压缩感知的频率-角度联合估计方法. 上海师范大学学报(自然科学版),2018,47(2):179-185.
  • [2654] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2655] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2656] 魏爽. A Deep-Learning-based Time of Arrival Estimation using Kernel Sparse Encoding Scheme. SIGNAL PROCESSING,2023,209(109047):0.
  • [2657] 魏爽. A DOA and TOA joint estimation algorithm based on deep transfer learning. ELECTRONICS LETTERS,2023,59(3):0.
  • [2658] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2659] 魏爽. Underdetermined mixture matrix estimation based on neural network and genetic algorithm. Neural Information Processing,2017.
  • [2660] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2661] 魏爽. 基于动态字典学习的欠定盲语音重构算法. 计算机工程与设计,2022,43(5):1351-1357.
  • [2662] 魏爽. A joint frequency and DOA estimation method based on two-layers compressed sensing. 2017 IEEE International Conference on Information and Automation,2017.
  • [2663] 魏爽. A time delay estimation approach based on compressed sensing in dense multipath environment. 2017 IEEE International Conference on Information and Automation,2017.
  • [2664] 魏爽. Sparse component analysis based on an improved ant K-means clustering algorithm for underdetermined blind source separation. 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNS),2019.
科研项目
  • [1] 魏爽.上海市自然科学基金:基于离格稀疏优化的移动场景下空时密集信号估计方法研究,结题.
专利成果
  • [3] 魏爽,张睿. 一种基于压缩感知空间信息估计的欠定语音分离方法和装置. 中国专利:申请状态(申请号:2023115557089).
  • [4] 魏爽,朱根村,牛智超,张睿. 基于空频嵌套阵列移动的时延和二维角度联合估计方法,. 中国专利:申请状态(申请号:202311447798X).
  • [5] 魏爽,顾旭,陈俊飞,彭张节,张静,李莉. 一种基于离格稀疏贝叶斯的波达方向估计方法. 中国专利:ZL201810961193.5,2021-06-01.

教学工作

教学工作：
教职工课程信息
开课学年开课学期课程名称
2018-20191数字信号处理
2018-20191数字信号处理
2023-20241数字信号处理
2020-20212单片机原理及应用
2023-20242单片机原理及应用
2017-20182电子技术实验
2019-20201数字信号处理
2020-20211数字信号处理
2022-20232单片机原理及应用
2025-20261数字世界的信号处理
2018-20192电子技术实验
2021-20221数字信号处理
2024-20251数字世界的信号处理
2022-20231数字信号处理
2024-20252数字世界的信号处理

荣誉奖励

荣誉奖励：

教学奖励：
     2020年，上海市一流本科线上线下混合式课程负责人

     2019年，第六届上海师范大学青年教师讲课竞赛一等奖

指导本科生获得：

    2018年，上海师范大学本科毕设优秀指导教师
    2016年，河海大学本科毕设优秀指导教师

指导研究生获得：

    2019年，上海师范大学学生科研项目一等奖
    2018年，上海师范大学学生科研项目一等奖

社会兼职

社会兼职：

曾担任IEEE计算智能协会(CIS)社交媒体(Social Media)委员会成员；曾受邀担任多个IEEE期刊和会议的审稿人；国家自然科学基金通讯评委专家。

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