161 citations to https://www.mathnet.ru/eng/tit3
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Chunfang Shao, Jincai Chang, Peixin Ye, Wenhui Zhang, Shuo Xing, “Almost Optimality of the Orthogonal Super Greedy Algorithm for μ-Coherent Dictionaries”, Axioms, 11:5 (2022), 186
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Wael Saideni, David Helbert, Fabien Courreges, Jean-Pierre Cances, “An Overview on Deep Learning Techniques for Video Compressive Sensing”, Applied Sciences, 12:5 (2022), 2734
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Lin Xu, Xiangyong Cao, Jing Yao, Zheng Yan, “Orthogonal Super Greedy Learning for Sparse Feedforward Neural Networks”, IEEE Trans. Netw. Sci. Eng., 9:1 (2022), 161
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Seungwoo Hong, Dongyun Kam, Sangbu Yun, Jeongwon Choe, Namyoon Lee, Youngjoo Lee, “Low-Complexity and Low-Latency SVC Decoding Architecture Using Modified MAP-SP Algorithm”, IEEE Trans. Circuits Syst. I, 69:4 (2022), 1774
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Shri Ramtej K., Ramasamy Mariappan, Advances in Computer and Electrical Engineering, 5G Internet of Things and Changing Standards for Computing and Electronic Systems, 2022, 134
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Xiwen Zhang, Liejun Xie, Jinping Wang, “Some results on OMP algorithm for MMV problem”, Math Methods in App Sciences, 45:9 (2022), 5402
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Ryo Hayakawa, “Asymptotic Performance Prediction for ADMM-Based Compressed Sensing”, IEEE Trans. Signal Process., 70 (2022), 5194
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Saumya Patel, Ankita Vaish, Algorithms for Intelligent Systems, Machine Intelligence and Smart Systems, 2022, 199
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Meng-meng Wang, Chuang-ning Zhu, Lu Li, Man-tao Xu, “Double-image compression and encryption scheme based on chaotic system and real-preserving multi-order discrete fractional Fourier transform”, Journal of Modern Optics, 69:16 (2022), 917
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Wenhui Zhang, Peixin Ye, Shuo Xing, Xu Xu, “Optimality of the Approximation and Learning by the Rescaled Pure Super Greedy Algorithms”, Axioms, 11:9 (2022), 437