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A new result of the scaling law of weighted L1 minimization

This paper study recovery conditions of weighted L1 minimization for signal reconstruction from compressed sensing measurements. A sufficient condition for exact recovery by using the general weighted L1 minimization is derived, which builds a direct relationship between the weights and the recoverability. Simulation results indicates that this sufficient condition provides a precise prediction of the scaling law for the weighted L1 minimization.

preprint2015arXivOpen access
Jun ZhangUrbashi MitraKuan-Wen HuangNicolo Michelusi
math.ITInformation Theory
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Open access4 authors2 topics
Imported metadata coverageMissing code, dataset, citation and institution fields are tracked without dominating the paper.Details
Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Jun ZhangUrbashi MitraKuan-Wen HuangNicolo Michelusi

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