153 citations to https://www.mathnet.ru/eng/tit3
  1. Jian Wang, Byonghyo Shim, “Exact Recovery of Sparse Signals Using Orthogonal Matching Pursuit: How Many Iterations Do We Need?”, IEEE Trans. Signal Process., 64:16 (2016), 4194  crossref
  2. Yuan-Min Li, Deyun Wei, “Signal reconstruction of compressed sensing based on recurrent neural networks”, Optik, 127:10 (2016), 4473  crossref
  3. Jian Fang, Shaobo Lin, Zongben Xu, “Learning and approximation capabilities of orthogonal super greedy algorithm”, Knowledge-Based Systems, 95 (2016), 86  crossref
  4. Dan Li, Qiang Wang, Yi Shen, “Predicted multi-variable intelligent matching pursuit algorithm for image sequences reconstruction based on l0 minimization”, Journal of Visual Communication and Image Representation, 38 (2016), 316  crossref
  5. Jean-Francois Determe, Jerome Louveaux, Laurent Jacques, Francois Horlin, “On The Exact Recovery Condition of Simultaneous Orthogonal Matching Pursuit”, IEEE Signal Process. Lett., 23:1 (2016), 164  crossref
  6. Jing Liu, Feng Lian, Mahendra Mallick, “Distributed compressed sensing based joint detection and tracking for multistatic radar system”, Information Sciences, 369 (2016), 100  crossref
  7. Nanrun Zhou, Haolin Li, Di Wang, Shumin Pan, Zhihong Zhou, “Image compression and encryption scheme based on 2D compressive sensing and fractional Mellin transform”, Optics Communications, 343 (2015), 10  crossref
  8. Wei‐dong Wang, Jun‐an Yang, Chun Zhang, “A novel compressed sensing ultra‐wideband channel estimation method based on non‐convex optimization”, Int J Communication, 28:3 (2015), 472  crossref
  9. Junxi Zhao, Rongfang Song, Jie Zhao, Wei-Ping Zhu, “New conditions for uniformly recovering sparse signals via orthogonal matching pursuit”, Signal Processing, 106 (2015), 106  crossref
  10. Jian Wang, “Support Recovery With Orthogonal Matching Pursuit in the Presence of Noise”, IEEE Trans. Signal Process., 63:21 (2015), 5868  crossref
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