• DocumentCode
    2364692
  • Title

    The sparsity gap: Uncertainty principles proportional to dimension

  • Author

    Tropp, Joel A.

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2010
  • fDate
    17-19 March 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In an incoherent dictionary, most signals that admit a sparse representation admit a unique sparse representation. In other words, there is no way to express the signal without using strictly more atoms. This work demonstrates that sparse signals typically enjoy a higher privilege: each nonoptimal representation of the signal requires far more atoms than the sparsest representation-unless it contains many of the same atoms as the sparsest representation. One impact of this finding is to confer a certain degree of legitimacy on the particular atoms that appear in a sparse representation. This result can also be viewed as an uncertainty principle for random sparse signals over an incoherent dictionary.
  • Keywords
    indeterminancy; signal representation; sparse matrices; incoherent dictionary; legitimacy; nonoptimal representation; random sparse signals; sparsity gap; uncertainty principles; unique sparse representation; Atomic measurements; Dictionaries; H infinity control; Sparks; Sparse matrices; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2010 44th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-7416-5
  • Electronic_ISBN
    978-1-4244-7417-2
  • Type

    conf

  • DOI
    10.1109/CISS.2010.5464824
  • Filename
    5464824