153 citations to https://www.mathnet.ru/rus/tit3
  1. Bo Li, Yi Shen, Zhenghua Wu, Jia Li, “Sufficient conditions for generalized Orthogonal Matching Pursuit in noisy case”, Signal Processing, 108 (2015), 111  crossref
  2. Mingrui Yang, Frank de Hoog, “Orthogonal Matching Pursuit With Thresholding and its Application in Compressive Sensing”, IEEE Trans. Signal Process., 63:20 (2015), 5479  crossref
  3. Fangyuan Yu, Dezhi Li, Qing Guo, Zhenyong Wang, Wei Xiang, “Block-FFT Based OMP for Compressed Channel Estimation in Underwater Acoustic Communications”, IEEE Commun. Lett., 19:11 (2015), 1937  crossref
  4. Bo Li, Yi Shen, Sreeraman Rajan, Thia Kirubarajan, “Theoretical results for sparse signal recovery with noises using generalized OMP algorithm”, Signal Processing, 117 (2015), 270  crossref
  5. Weidong Wang, Shafei Wang, Jun-an Yang, Hui Liu, “Under-Sampling of PPM-UWB Communication Signals Based on CS and AIC”, Circuits Syst Signal Process, 34:11 (2015), 3595  crossref
  6. Chao-Bing Song, Shu-Tao Xia, Xin-Ji Liu, 2015 IEEE International Symposium on Information Theory (ISIT), 2015, 536  crossref
  7. Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye, “Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion”, SIAM J. Sci. Comput., 37:1 (2015), A488  crossref
  8. Yi Shen, Song Li, “Sparse signals recovery from noisy measurements by orthogonal matching pursuit”, Inverse Problems & Imaging, 9:1 (2015), 231  crossref
  9. Mingkui Tan, Ivor W. Tsang, Li Wang, “Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary”, IEEE Trans. Signal Process., 63:3 (2015), 727  crossref
  10. Nanrun Zhou, Aidi Zhang, Fen Zheng, Lihua Gong, “Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing”, Optics & Laser Technology, 62 (2014), 152  crossref
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