作者： Y. Hu;F. Zhang;L. Xu;R. Tao;Y. Wang （Beijing Institute of Technology, People's Republic of China）

出处： IET Signal Processing 2016 Vol.10No.2 P140-149

摘要： Signal reconstruction from non-uniform samples, especially for non-stationary signals, is an important issue in the area of digital signal processing. ...

被引情况： sci被引 1 次

作者： Hongxia Bu^ab;Ran Tao^ac;Xia Bai^ac;Juan Zhao^ac （a School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, PR Chinab College of Physics Science and Information Engineering, Hebei Normal University, Shijiazhuang 050024, PR Chinac Beijing Key Laboratory of Fractional Signals and Systems, Beijing 100081, PR China）

出处： Signal Processing 2016 Vol.122 P115-122

关键词： Smoothed L0;Compressed sensing (CS);Radar imaging;Phase error correction

摘要： Sparse signal recovery is attractive in compressed sensing (CS). Based on the smoothed ℓ0 norm (SL0) algorithm, we have developed an error-tolerant re ...

作者： Ma, Yahui; Shan, Tao; Zhang, Yimin D.; Amin, Moeness G.; Tao, Ran; Feng, Yuan （[Ma, Yahui; Shan, Tao; Tao, Ran; Feng, Yuan] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China; [Ma, Yahui; Shan, Tao; Tao, Ran; Feng, Yuan] Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China; [Zhang, Yimin D.] Temple Univ, Dept Elect & Comp Engn, Coll Engn, Philadelphia, PA 19122 USA; [Amin, Moeness G.] Villanova Univ, Ctr Adv Commun, Villanova, PA 19085 USA）

出处： IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2016 Vol.13No.5 P676-680

关键词： Passive bistatic radar (PBR); sparse weights; 2-D adaptive filter

作者： Xu, Liyun; Zhang, Feng; Tao, Ran （[Xu, Liyun; Tao, Ran] Beijing Inst Technol, Sch Math & Stat, Beijing 100081, Peoples R China; [Zhang, Feng; Tao, Ran] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China; [Xu, Liyun; Zhang, Feng; Tao, Ran] Beijing Inst Technol, Beijing Key Lab Fract Signals & Syst, Beijing 100081, Peoples R China）

出处： SIGNAL PROCESSING 2016 P311-322

关键词： Fractional Fourier transform; Fractional power spectrum; Fractional correlation; Nonuniform sampling

被引情况： sci被引 4 次

作者： Lu, Ming-Feng;Zhang, Feng;Tao, Ran;Ni, Guo-Qiang;Bai, Ting-Zhu

出处： Lasers and Electro-Optics (CLEO), 2015 Conference on San Jose, CA, USA 2015

摘要： The Fractional Fourier transform can be understood as a chirp-based decomposition. Accordingly it can be used to process fringe patterns with quadrati ...

作者： Lu, Ming-Feng(1,2); Zhang, Feng(1,2); Tao, Ran(1,2); Ni, Guo-Qiang(1,3); Bai, Ting-Zhu(1,3)

出处： CLEO: Applications and Technology, CLEO-AT 2015 San Jose, CA, United states 2015

作者： Lu, Ming-Feng(1,2); Zhang, Feng(1,2); Tao, Ran(1,2); Ni, Guo-Qiang(3); Bai, Ting-Zhu(3)

出处： CLEO: QELS - Fundamental Science, CLEO_QELS 2015 San Jose, CA, United states 2015

作者： Lu, Ming-Feng(1,2); Zhang, Feng(1,2); Tao, Ran(1,2); Ni, Guo-Qiang(3); Bai, Ting-Zhu(3)

出处： CLEO: Science and Innovations, CLEO-SI 2015 San Jose, CA, United states 2015

作者： Feng, Yuan(1,2); Shan, Tao(1,2); Liu, Shengheng(1,2); Tao, Ran(1,2)

出处： IEEE National Radar Conference - Proceedings Arlington, VA, United states 2015

作者： Liu, Shengheng(1); Shan, Tao(1,2); Zhang, Yimin D.(2); Tao, Ran(1); Feng, Yuan(1)

出处： IEEE National Radar Conference - Proceedings Arlington, VA, United states 2015