DocumentCode :
1237376
Title :
Decay Properties of Restricted Isometry Constants
Author :
Blanchard, Jeffrey D. ; Cartis, Coralia ; Tanner, Jared
Author_Institution :
Dept. of Math., Univ. of Utah, Salt Lake City, UT
Volume :
16
Issue :
7
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
572
Lastpage :
575
Abstract :
Many sparse approximation algorithms accurately recover the sparsest solution to an underdetermined system of equations provided the matrix´s restricted isometry constants (RICs) satisfy certain bounds. There are no known large deterministic matrices that satisfy the desired RIC bounds; however, members of many random matrix ensembles typically satisfy RIC bounds. This experience with random matrices has colored the view of the RICs´ behavior. By modifying matrices assumed to have bounded RICs, we construct matrices whose RICs behave in a markedly different fashion than the classical random matrices; RICs can satisfy desirable bounds and also take on values in a narrow range.
Keywords :
approximation theory; matrix algebra; signal processing; classical random matrices; decay properties; deterministic matrices; matrix restricted isometry constants; sparse approximation algorithms; Compressed sensing; RIP; restricted isometry constants; sparse approximation;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2009.2020882
Filename :
4814505
Link To Document :
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