• DocumentCode
    1403197
  • Title

    Infomax and maximum likelihood for blind source separation

  • Author

    Cardoso, Jean-François

  • Author_Institution
    Ecole Normale Superieure, Paris, France
  • Volume
    4
  • Issue
    4
  • fYear
    1997
  • fDate
    4/1/1997 12:00:00 AM
  • Firstpage
    112
  • Lastpage
    114
  • Abstract
    Algorithms for the blind separation of sources can be derived from several different principles. This article shows that the infomax (information-maximization) principle is equivalent to the maximum likelihood. The application of the infomax principle to source separation consists of maximizing an output entropy.
  • Keywords
    maximum entropy methods; maximum likelihood estimation; signal processing; blind source separation algorithms; infomax principle; information maximization; maximum likelihood; output entropy maximization; Blind source separation; Distribution functions; Entropy; H infinity control; Maximum likelihood estimation; Parametric statistics; Probability density function; Random variables; Source separation;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.566704
  • Filename
    566704
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1403197