153 citations to https://www.mathnet.ru/eng/tit3
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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
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Yuan-Min Li, Deyun Wei, “Signal reconstruction of compressed sensing based on recurrent neural networks”, Optik, 127:10 (2016), 4473
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Jian Fang, Shaobo Lin, Zongben Xu, “Learning and approximation capabilities of orthogonal super greedy algorithm”, Knowledge-Based Systems, 95 (2016), 86
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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
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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
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Jing Liu, Feng Lian, Mahendra Mallick, “Distributed compressed sensing based joint detection and tracking for multistatic radar system”, Information Sciences, 369 (2016), 100
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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
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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
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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
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Jian Wang, “Support Recovery With Orthogonal Matching Pursuit in the Presence of Noise”, IEEE Trans. Signal Process., 63:21 (2015), 5868