161 citations to https://www.mathnet.ru/eng/tit3
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Min Zhang, Minrun Wu, 2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2020, 192
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Jinming Wen, Rui Zhang, Wei Yu, “Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery”, IEEE Trans. Signal Process., 68 (2020), 5031
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Arash Jalali, Hassan Farsi, “A new steganography algorithm based on video sparse representation”, Multimed Tools Appl, 79:3-4 (2020), 1821
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Xiuli Chai, Xianglong Fu, Zhihua Gan, Yushu Zhang, Yang Lu, Yiran Chen, “An efficient chaos-based image compression and encryption scheme using block compressive sensing and elementary cellular automata”, Neural Comput & Applic, 32:9 (2020), 4961
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Haifeng Li, Wengu Chen, “RIP based condition for support recovery with A* OMP in the presence of noise”, IET signal process., 14:5 (2020), 307
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Lixiang Li, Yuan Fang, Liwei Liu, Haipeng Peng, Jürgen Kurths, Yixian Yang, “Overview of Compressed Sensing: Sensing Model, Reconstruction Algorithm, and Its Applications”, Applied Sciences, 10:17 (2020), 5909
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Ya-Ru Liang, Zhi-Yong Xiao, “Image Encryption Algorithm Based on Compressive Sensing and Fractional DCT via Polynomial Interpolation”, Int. J. Autom. Comput., 17:2 (2020), 292
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Jeongmin Chae, Songnam Hong, “Greedy Algorithms for Sparse and Positive Signal Recovery Based on Bit-Wise MAP Detection”, IEEE Trans. Signal Process., 68 (2020), 4017
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Enrico Picariello, Eulalia Balestrieri, Francesco Picariello, Sergio Rapuano, Ioan Tudosa, Luca De Vito, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2020, 1
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Huijuan Guo, Suqing Han, Fei Hao, Doo-Soon Park, Geyong Min, “SOSP: a stepwise optimal sparsity pursuit algorithm for practical compressed sensing”, Multimed Tools Appl, 78:1 (2019), 3