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New bounds for RIC in compressed sensing

New bounds for RIC in compressed sensing
New bounds for RIC in compressed sensing
This paper gives new bounds for restricted isometry constant (RIC) in compressed sensing. Let Φ be an m×n real matrix and k be a positive integer with k⩽n. The main results of this paper show that if the restricted isometry constant of Φ satisfies δ 8ak <1 and δk+ak<32−1+(4a+3)2−8−−−−−−−−−−√8a for a>38, then k-sparse solution can be recovered exactly via l 1 minimization in the noiseless case. In particular, when a=1,1.5,2 and 3, we have δ 2k <0.5746 and δ 8k <1, or δ 2.5k <0.7046 and δ 12k <1, or δ 3k <0.7731 and δ 16k <1 or δ 4k <0.8445 and δ 24k <1.
2194-668X
227-237
Zhou, Shenglong
d183edc9-a9f6-4b07-a140-a82213dbd8c3
Kong, LingChen
ef079edd-14ad-4793-b2a5-0fd261b3b711
Xiu, Naihua
8b5770f7-ae35-4dbe-884a-02fb4ea27bee
Zhou, Shenglong
d183edc9-a9f6-4b07-a140-a82213dbd8c3
Kong, LingChen
ef079edd-14ad-4793-b2a5-0fd261b3b711
Xiu, Naihua
8b5770f7-ae35-4dbe-884a-02fb4ea27bee

Zhou, Shenglong, Kong, LingChen and Xiu, Naihua (2013) New bounds for RIC in compressed sensing. Journal of the Operations Research Society of China, 1 (2), 227-237. (doi:10.1007/s40305-013-0013-z).

Record type: Article

Abstract

This paper gives new bounds for restricted isometry constant (RIC) in compressed sensing. Let Φ be an m×n real matrix and k be a positive integer with k⩽n. The main results of this paper show that if the restricted isometry constant of Φ satisfies δ 8ak <1 and δk+ak<32−1+(4a+3)2−8−−−−−−−−−−√8a for a>38, then k-sparse solution can be recovered exactly via l 1 minimization in the noiseless case. In particular, when a=1,1.5,2 and 3, we have δ 2k <0.5746 and δ 8k <1, or δ 2.5k <0.7046 and δ 12k <1, or δ 3k <0.7731 and δ 16k <1 or δ 4k <0.8445 and δ 24k <1.

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More information

Published date: 25 April 2013

Identifiers

Local EPrints ID: 442087
URI: http://eprints.soton.ac.uk/id/eprint/442087
ISSN: 2194-668X
PURE UUID: 3e42f06e-86e8-488a-b5ad-55ce0818bc2c
ORCID for Shenglong Zhou: ORCID iD orcid.org/0000-0003-2843-1614

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Date deposited: 07 Jul 2020 16:48
Last modified: 16 Mar 2024 08:32

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Contributors

Author: Shenglong Zhou ORCID iD
Author: LingChen Kong
Author: Naihua Xiu

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