A note on guaranteed sparse recovery via <mml:math altimg="si1.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msub><mml:mi>ℓ</mml:mi><mml:mn>1</mml:mn></mml:msub></mml:math>-minimization-Reference-Cited by-同舟云学术

A note on guaranteed sparse recovery via ℓ1-minimization

Author:

Foucart Simon

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference6 articles.

3. Decoding by linear programing;Candès;IEEE Trans. Inform. Theory,2005

4. M. Davies, R. Gribonval, Restricted isometry constants where ℓp sparse recovery can fail for 0

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