A non-convex regularization approach for compressive sensing

DOI10.1007/s10444-018-9627-3zbMath1415.90088OpenAlexW2885285107WikidataQ129406434 ScholiaQ129406434MaRDI QIDQ2000486

Ya-Ru Fan, Ting-Zhu Huang, Alessandro Buccini, Marco Donatelli

Publication date: 28 June 2019

Published in: Advances in Computational Mathematics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11584/278179

zbMATH Keywords

compressive sensingnon-convex low-rank regularizationsmoothed rank function

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Numerical optimization and variational techniques (65K10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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Uses Software

• NESTA

Cites Work

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