Some results on OMP algorithm for MMV problem

DOI10.1002/mma.8114OpenAlexW4210633279MaRDI QIDQ6181820

Jin-Ping Wang, Lie-jun Xie, Xi-Wen Zhang

Publication date: 20 December 2023

Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/mma.8114

zbMATH Keywords

compressed sensingrestricted isometry propertyorthogonal matching pursuit algorithmmultiple measurement vector

Mathematics Subject Classification ID

Computational methods for sparse matrices (65F50) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30) Orthogonalization in numerical linear algebra (65F25)

Cites Work

• Analysis of convergence for the alternating direction method applied to joint sparse recovery
• CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
• Algorithms for simultaneous sparse approximation. II: Convex relaxation
• A remark on joint sparse recovery with OMP algorithm under restricted isometry property
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Decoding by Linear Programming
• Stable recovery of sparse overcomplete representations in the presence of noise
• Greed is Good: Algorithmic Results for Sparse Approximation
• High-Resolution Radar via Compressed Sensing
• Theoretical Results on Sparse Representations of Multiple-Measurement Vectors
• A Sharp Condition for Exact Support Recovery With Orthogonal Matching Pursuit
• A Remark on the Restricted Isometry Property in Orthogonal Matching Pursuit
• The Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing
• Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

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