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
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