153 citations to https://www.mathnet.ru/eng/tit3
  1. Roy Y. He, Haixia Liu, Hao Liu, “Group projected subspace pursuit for block sparse signal reconstruction: Convergence analysis and applications”, Applied and Computational Harmonic Analysis, 75 (2025), 101726  crossref
  2. Rui Qi, Xiangkun Ji, Haojie Yuan, Tania Limongi, Hong Lin, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2024, 25  crossref
  3. Hongping Gan, Xiaoyang Wang, Lijun He, Jie Liu, “Learned Two-Step Iterative Shrinkage Thresholding Algorithm for Deep Compressive Sensing”, IEEE Trans. Circuits Syst. Video Technol., 34:5 (2024), 3943  crossref
  4. Yuanmao Wang, Yang Chen, Yongjian Zhao, Siyu Liu, “Compressed Sensing for Biomedical Photoacoustic Imaging: A Review”, Sensors, 24:9 (2024), 2670  crossref
  5. Yinshuo Li, Wei Cao, Wenkai Lu, Xiaogang Huang, Jicai Ding, Cao Song, “Reconstruct 3-D Seismic Data With Randomly Missing Traces via Fast Self-Supervised Deep Learning”, IEEE Trans. Geosci. Remote Sensing, 62 (2024), 1  crossref
  6. Shuyang Jia, Lianglong Da, Sichen Zou, Baoheng Liu, Xiaochuan Zhang, “A D* orthogonal matching pursuit algorithm for time-varying channel estimation”, The Journal of the Acoustical Society of America, 156:5 (2024), 3158  crossref
  7. Yang Sun, Sijia Guo, Lei Chen, Shengquan Li, Dongdong Shi, Yipei Ding, “Fast identification of critical nodes in complex network based on improved greedy algorithm”, Phys. Scr., 99:12 (2024), 125282  crossref
  8. Jie Zhang, Miaoxin Lu, Wenxiao Huang, Xiaoping Shi, Yanfeng Wang, “DSU-Net: A Dynamic Stage Unfolding Network for high-noise image compressive sensing denoising”, Neurocomputing, 2024, 129071  crossref
  9. Aravindan Madhavan, Yamuna Govindarajan, Neelakandan Rajamohan, “Coherence Based Sufficient Condition for Support Recovery Using Generalized Orthogonal Matching Pursuit”, Computer Systems Science and Engineering, 45:2 (2023), 2049  crossref
  10. Ke-Lin Du, M. N. S. Swamy, Zhang-Quan Wang, Wai Ho Mow, “Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics”, Mathematics, 11:12 (2023), 2674  crossref
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