A perturbation analysis of block-sparse compressed sensing via mixed ℓ2/ℓ1 minimization
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Publication:2818328
DOI10.1142/S0219691316500260zbMath1366.94135MaRDI QIDQ2818328
Wendong Wang, Jing Zhang, Jian-Jun Wang
Publication date: 7 September 2016
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
Numerical optimization and variational techniques (65K10) Convex functions and convex programs in convex geometry (52A41) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Information theory (general) (94A15)
Related Items (2)
The null space property of the weighted ℓr − ℓ1 minimization ⋮ Perturbation analysis of low-rank matrix stable recovery
Cites Work
- Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms
- Decoding by Linear Programming
- Compressed Sensing and Source Separation
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Robust Recovery of Signals From a Structured Union of Subspaces
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