161 citations to https://www.mathnet.ru/rus/tit3
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Wei Wu, Haipeng Peng, Fenghua Tong, Lixiang Li, “A Chaotic Compressed Sensing-Based Multigroup Secret Image Sharing Method for IoT With Critical Information Concealment Function”, IEEE Internet Things J., 10:2 (2023), 1192
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Yun-Bin Zhao, Zhi-Quan Luo, “Dynamic Orthogonal Matching Pursuit for Sparse Data Reconstruction”, IEEE Open J. Signal Process., 4 (2023), 242
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Mary John, Imad Barhumi, “Advancing Sensor-Data Based PAT Image Reconstruction Through Efficient and Intelligible Unrolled Networks”, IEEE Access, 11 (2023), 117053
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Zhi-Yong Wang, Xiao Peng Li, Hing Cheung So, Abdelhak M. Zoubir, “Adaptive Rank-One Matrix Completion Using Sum of Outer Products”, IEEE Trans. Circuits Syst. Video Technol., 33:9 (2023), 4868
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Wei Wu, Haipeng Peng, Liting Wen, Yuhong Liu, Fenghua Tong, Lixiang Li, “A Secure and Efficient Data Transmission Method With Multilevel Concealment Function Based on Chaotic Compressive Sensing”, IEEE Sensors J., 23:17 (2023), 19823
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Sizhe He, Yuxun Zhou, Yadong Zhou, Jiang Wu, Min Zheng, Ting Liu, “Fast Identification of Vulnerable Set for Cascading Failure Analysis in Power Grid”, IEEE Trans. Ind. Inf., 19:4 (2023), 5645
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R.S. Koteeshwari, B. Malarkodi, “Compressive spectrum sensing for 5G cognitive radio networks – LASSO approach”, Heliyon, 8:6 (2022), e09621
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X. Gao, J. Zhou, “$\mathrm {L_1RIP}$-Based Robust Compressed Sensing”, Circuits Syst Signal Process, 41:2 (2022), 851
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Natarajan Pradeepa, Chenthur Pandian Ram Kumar, Sakkanan Chenthur Pandian, “Compressive Sensing-Based Diagnosis of Diabetic Retinopathy from Fundus Image – A Sparse Approach”, IETE Journal of Research, 68:2 (2022), 833
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Sami Doubla Isaac, Zeric Tabekoueng Njitacke, Nestor Tsafack, Christian Tchito Tchapga, Jacques Kengne, “Novel compressive sensing image encryption using the dynamics of an adjustable gradient Hopfield neural network”, Eur. Phys. J. Spec. Top., 231:10 (2022), 1995