Unconstrained \(\ell_1\)-\(\ell_2\) minimization for sparse recovery via mutual coherence

DOI10.3934/mfc.2020006zbMath1490.94036OpenAlexW3031042291MaRDI QIDQ2124198

Pengbo Geng, Chen, Wengu

Publication date: 19 April 2022

Published in: Mathematical Foundations of Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mfc.2020006

zbMATH Keywords

compressed sensingmutual coherencesparse signal recovery\(\ell_1\)-\(\ell_2\) minimizationnon-convex metric

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Compressed data separation via unconstrained l1-split analysis ⋮ \(k\)-sparse vector recovery via truncated \(\ell_1 -\ell_2\) local minimization ⋮ The Dantzig selector: recovery of signal via ℓ ₁ − αℓ ₂ minimization

Uses Software

• PDCO
• CoSaMP

Cites Work

• Unnamed Item
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