• DocumentCode
    1895090
  • Title

    Sparseness Via l 2 - Norm Minimization?

  • Author

    Marti-Lopez, F.

  • Author_Institution
    Dept. of NeuroPhysics, Cuban Neurosci. Center, Havana
  • fYear
    2005
  • fDate
    17-20 July 2005
  • Firstpage
    739
  • Lastpage
    744
  • Abstract
    In this paper, the common general opinion that l2 - norm can not lead to sparse adaptive representations of discretized signals is refuted by formulating, a certain heuristic l2 - norm signal decomposition procedure that empirically provides them as cotrexamples, whichever the signal and the dictionary are
  • Keywords
    adaptive signal processing; minimisation; signal representation; discretized signals; norm minimization; norm signal decomposition procedure; sparse adaptive representations; Adaptive arrays; Dictionaries; Functional programming; Least squares methods; Linear programming; Mathematical programming; Signal representations; Signal resolution; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
  • Conference_Location
    Novosibirsk
  • Print_ISBN
    0-7803-9403-8
  • Type

    conf

  • DOI
    10.1109/SSP.2005.1628692
  • Filename
    1628692
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1895090