Sparse signals recovered by non-convex penalty in quasi-linear systems

DOI10.1186/S13660-018-1652-8zbMath1497.94019OpenAlexW2791768063WikidataQ55340576 ScholiaQ55340576MaRDI QIDQ824479

Meng Wen, Angang Cui, Hai-yang Li, Ji-Gen Peng

Publication date: 15 December 2021

Published in: Journal of Inequalities and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s13660-018-1652-8

zbMATH Keywords

compressed sensingquasi-lineariterative thresholding algorithmnon-convex fraction function

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Affine matrix rank minimization problem via non-convex fraction function penalty
• Sparse and Redundant Representations
• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• Online Sparse System Identification and Signal Reconstruction Using Projections Onto Weighted $\ell_{1}$ Balls
• Quasi-linear Compressed Sensing
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

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