Joint Sparse Recovery Using Signal Space Matching Pursuit

Author:

Kim JunhanORCID,Wang JianORCID,Nguyen Luong TrungORCID,Shim ByonghyoORCID

Funder

National Natural Science Foundation of China

Shanghai Municipal Science and Technology Major Project

Ministry of Science (MSIT) and ICT, South Korea, through the Information Technology Research Center (ITRC) supervised by the Institute for Information and Communications Technology Promotion

Samsung Research Funding and Incubation Center for Future Technology of Samsung Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FROST-BRDF: A Fast and Robust Optimal Sampling Technique for BRDF Acquisition;IEEE Transactions on Visualization and Computer Graphics;2024-07

2. Robust Recovery of Joint Sparse Signals via Simultaneous Orthogonal Matching Pursuit;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Federated Consensus-Based Algorithm for Stable Recovery of Sparse Signals;IEEE Transactions on Vehicular Technology;2023-12

4. Accurate Compressed Spectrum Sensing Reaching Sub-Nyquist Sampling Boundary;2023 International Conference on Intelligent Communication and Networking (ICN);2023-11-10

5. Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics;Mathematics;2023-06-12

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