161 citations to https://www.mathnet.ru/rus/tit3
  1. Qingyong Deng, Hongqing Zeng, Jian Zhang, Shujuan Tian, Jiasheng Cao, Zhetao Li, Anfeng Liu, “Compressed sensing for image reconstruction via back-off and rectification of greedy algorithm”, Signal Processing, 157 (2019), 280  crossref
  2. Yanbo Wang, Tao Qian, “Adaptive Fourier decomposition in”, Math Methods in App Sciences, 42:6 (2019), 2016  crossref
  3. Xiaobo Zhang, Wenbo Xu, Yupeng Cui, Liyang Lu, Jiaru Lin, “On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit”, IEEE Access, 7 (2019), 175554  crossref
  4. Chao Wu, Ying Wang, Ye Chen, Jun Wang, Qiong-Hua Wang, “Asymmetric encryption of multiple-image based on compressed sensing and phase-truncation in cylindrical diffraction domain”, Optics Communications, 431 (2019), 203  crossref
  5. Xiujie Wei, Peixin Ye, “Efficiency of orthogonal super greedy algorithm under the restricted isometry property”, J Inequal Appl, 2019:1 (2019)  crossref
  6. Ke-Lin Du, M. N. S. Swamy, Neural Networks and Statistical Learning, 2019, 525  crossref
  7. Jianchen Zhu, Shengjie Zhao, Xu Ma, Gonzalo R. Arce, 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, 1  crossref
  8. Xu-Dong Chen, Ying Wang, Jun Wang, Qiong-Hua Wang, “Asymmetric color cryptosystem based on compressed sensing and equal modulus decomposition in discrete fractional random transform domain”, Optics and Lasers in Engineering, 121 (2019), 143  crossref
  9. Poonam Goyal, Brahmjit Singh, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), 2019, 461  crossref
  10. Jinming Wen, Zhengchun Zhou, Zilong Liu, Ming-Jun Lai, Xiaohu Tang, “Sharp sufficient conditions for stable recovery of block sparse signals by block orthogonal matching pursuit”, Applied and Computational Harmonic Analysis, 47:3 (2019), 948  crossref
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