A simple Gaussian measurement bound for exact recovery of block-sparse signals
From MaRDI portal
Publication:2320652
DOI10.1155/2014/104709zbMath1419.94016OpenAlexW2164710415WikidataQ59038328 ScholiaQ59038328MaRDI QIDQ2320652
Zhi Han, Hai Zhang, Jia Jing, Jian-Jun Wang
Publication date: 23 August 2019
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2014/104709
Uses Software
Cites Work
- Recovery of sparsest signals via \(\ell^q \)-minimization
- The null space property for sparse recovery from multiple measurement vectors
- The benefit of group sparsity
- Sparsest solutions of underdetermined linear systems via \( \ell _q\)-minimization for \(0<q\leqslant 1\)
- A simple proof of the restricted isometry property for random matrices
- Compressed sensing of color images
- Restricted isometry properties and nonconvex compressive sensing
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints
- Iteratively reweighted least squares minimization for sparse recovery
- Atomic Decomposition by Basis Pursuit
- On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements
- Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
- Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals
- Robust Recovery of Signals From a Structured Union of Subspaces
- L 1/2 regularization
- Model Selection and Estimation in Regression with Grouped Variables
- Compressed sensing
