Sharp RIP bound for sparse signal and low-rank matrix recovery
This paper establishes a sharp condition on the restricted isometry property (RIP) for both the sparse signal recovery and low-rank matrix recovery. It is shown that if the measurement matrix A satisfies the RIP condition δkA
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Veröffentlicht in: | Applied and computational harmonic analysis 2013-07, Vol.35 (1), p.74-93 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | This paper establishes a sharp condition on the restricted isometry property (RIP) for both the sparse signal recovery and low-rank matrix recovery. It is shown that if the measurement matrix A satisfies the RIP condition δkA |
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ISSN: | 1063-5203 1096-603X |
DOI: | 10.1016/j.acha.2012.07.010 |