161 citations to https://www.mathnet.ru/eng/tit3
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Sayuan Liang, Tom Dresselaers, Karim Louchami, Ce Zhu, Yipeng Liu, Uwe Himmelreich, “Comparison of different compressed sensing algorithms for low SNR 19F MRI applications—Imaging of transplanted pancreatic islets and cells labeled with perfluorocarbons”, NMR in Biomedicine, 30:11 (2017)
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Cunxiao Ji, Mingwei Shen, Chao Liang, Di Wu, Daiyin Zhu, 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017, 1
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Srdjan Stanković, Irena Orović, Ljubiša Stanković, “Polynomial Fourier domain as a domain of signal sparsity”, Signal Processing, 130 (2017), 243
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Zhilin Li, Wenbo Xu, Yupeng Cui, Jiaru Lin, “Analysis of the Orthogonal Matching Pursuit Algorithm with Prior Information”, Wireless Pers Commun, 96:1 (2017), 1495
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Filip Maly, Pavel Kriz, Adam Mrazek, Lecture Notes in Computer Science, 10191, Intelligent Information and Database Systems, 2017, 455
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Xiaofang Zhang, Hongwei Du, Bensheng Qiu, Shanshan Chen, “Fast sparsity adaptive multipath matching pursuit for compressed sensing problems”, J. Electron. Imaging, 26:3 (2017), 033007
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Israa Sh. Tawfic, Sema Kayhan, “An improved stopping condition guarantee recovery of sparse signal via Subspace Pursuit method”, ISA Transactions, 70 (2017), 149
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Chunfang Shao, Peixin Ye, “Almost optimality of orthogonal super greedy algorithms for incoherent dictionaries”, Int. J. Wavelets Multiresolut Inf. Process., 15:04 (2017), 1750029
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Zhiqiang Qin, Jinlong Wang, Jin Chen, Long Wang, “Adaptive Compressed Spectrum Sensing Based on Cross Validation in WideBand Cognitive Radio System”, IEEE Systems Journal, 11:4 (2017), 2422
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Jinming Wen, Zhengchun Zhou, Dongfang Li, Xiaohu Tang, “A Novel Sufficient Condition for Generalized Orthogonal Matching Pursuit”, IEEE Commun. Lett., 21:4 (2017), 805