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Block‐sparse signal recovery via minimisation method

  • Published:2018-06 Issue:4 Volume:12 Page:422-430
  • ISSN:1751-9675
  • Container-title:IET Signal Processing
  • language:en
  • Short-container-title:IET signal process.

Author:

Wang Wendong1,Wang Jianjun2,Zhang Zili13

Affiliation:

1. School of Computer and Information ScienceSouthwest UniversityChongqingPeople's Republic of China

2. School of Mathematics and StatisticsSouthwest UniversityChongqingPeople's Republic of China

3. School of Information TechnologyDeakin UniversityLocked Bag20000GeelongVICAustralia

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 16 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. Iteratively reweighted least squares for block sparse signal recovery with unconstrained l2,p minimization;Analysis and Applications;2024-07-03

2. High-order block RIP for nonconvex block-sparse compressed sensing;Journal of Inverse and Ill-posed Problems;2024-04-24

3. Block sparse signal recovery via minimizing the block q-ratio sparsity;Journal of Computational and Applied Mathematics;2024-03

4. The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery;IEEE Transactions on Neural Networks and Learning Systems;2023

5. Nonzero Degree-based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery;IEEE Transactions on Evolutionary Computation;2023
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