Weighted \(\ell_p\) (\(0

DOI10.1007/s40314-022-01777-7zbMath1499.90167OpenAlexW4210674333MaRDI QIDQ2115047

Manxia Cao, Shuaijun Lv, Wei Huang

Publication date: 15 March 2022

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-022-01777-7

zbMATH Keywords

compressed sensingrestricted isometry propertyweighted \(\ell_p\) minimization

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Approximation with constraints (41A29)

Cites Work

• A mathematical introduction to compressive sensing
• Compressed sensing with coherent and redundant dictionaries
• New bounds on the restricted isometry constant \(\delta _{2k}\)
• A short note on compressed sensing with partially known signal support
• Optimal RIP bounds for sparse signals recovery via \(\ell_p\) minimization
• Recovery analysis for weighted \(\ell_{1}\)-minimization using the null space property
• Decoding by Linear Programming
• Adaptive Compressed Sensing Radar Oriented Toward Cognitive Detection in Dynamic Sparse Target Scene
• Weighted ${\ell}_{{1}}$-minimization for sparse recovery under arbitrary prior information
• Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker
• Uniform RIP Conditions for Recovery of Sparse Signals by $\ell _p\,(0< p\leq 1)$ Minimization
• New RIP Bounds for Recovery of Sparse Signals With Partial Support Information via Weighted ${\ell_{p}}$ -Minimization
• Recovering Compressively Sampled Signals Using Partial Support Information
• New Bounds for Restricted Isometry Constants
• Stable signal recovery from incomplete and inaccurate measurements

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