Improved RIP Conditions for Compressed Sensing with Coherent Tight Frames

Yao Wang and Jianjun Wang

Discrete Dynamics in Nature and Society, 2017, vol. 2017, 1-8

Abstract:

This paper establishes new sufficient conditions on the restricted isometry property (RIP) for compressed sensing with coherent tight frames. One of our main results shows that the RIP (adapted to ) condition guarantees the stable recovery of all signals that are nearly -sparse in terms of a coherent tight frame via the -analysis method, which improves the existing ones in the literature.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:4372080

DOI: 10.1155/2017/4372080

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