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
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
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
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
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
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
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
Xiwen Zhang, Liejun Xie, Jinping Wang, “Some results on OMP algorithm for MMV problem”, Math Methods in App Sciences, 45:9 (2022), 5402
Ryo Hayakawa, “Asymptotic Performance Prediction for ADMM-Based Compressed Sensing”, IEEE Trans. Signal Process., 70 (2022), 5194
Saumya Patel, Ankita Vaish, Algorithms for Intelligent Systems, Machine Intelligence and Smart Systems, 2022, 199