• 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