A note on block-sparse signal recovery with coherent tight frames

DOI10.1155/2013/905027zbMath1417.94024OpenAlexW2116218152WikidataQ57829569 ScholiaQ57829569MaRDI QIDQ2312304

Yao Wang, Zong Ben Xu, Jian-Jun Wang

Publication date: 5 July 2019

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/905027

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Uses Software

• PDCO

Cites Work

• Compressed sensing with coherent and redundant dictionaries
• Signal reconstruction in sensor arrays using sparse representations
• Sharp RIP bound for sparse signal and low-rank matrix recovery
• Atomic Decomposition by Basis Pursuit
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Compressed Sensing and Redundant Dictionaries
• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• Shifting Inequality and Recovery of Sparse Signals
• New Bounds for Restricted Isometry Constants With Coherent Tight Frames
• Robust Recovery of Signals From a Structured Union of Subspaces
• Restricted Isometry Constants Where $\ell ^{p}$ Sparse Recovery Can Fail for $0≪ p \leq 1$
• New Bounds for Restricted Isometry Constants
• Analysis versus synthesis in signal priors
• Compressed sensing