DocumentCode :
1517006
Title :
Stable Recovery of Sparse Signals and an Oracle Inequality
Author :
Cai, Tony Tony ; Wang, Lie ; Xu, Guangwu
Author_Institution :
Dept. of Stat., Univ. of Pennsylvania, Philadelphia, PA, USA
Volume :
56
Issue :
7
fYear :
2010
fDate :
7/1/2010 12:00:00 AM
Firstpage :
3516
Lastpage :
3522
Abstract :
This article considers sparse signal recovery in the presence of noise. A mutual incoherence condition which was previously used for exact recovery in the noiseless case is shown to be sufficient for stable recovery in the noisy case. Furthermore, the condition is proved to be sharp. A specific counterexample is given. In addition, an oracle inequality is derived under the mutual incoherence condition in the case of Gaussian noise.
Keywords :
Gaussian noise; signal processing; Gaussian noise; oracle inequality; sparse signal recovery; stable recovery; Compressed sensing; Dictionaries; Gaussian noise; Image reconstruction; Mathematics; Noise level; Signal processing; Sparse matrices; Statistics; Vectors; $ell _{1}$ minimization; compressed sensing; mutual incoherence; oracle inequality; sparse recovery;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2048506
Filename :
5484999
Link To Document :
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