• DocumentCode
    850230
  • Title

    Differential of the mutual information

  • Author

    Babaie-Zadeh, Massoud ; Jutten, Christian ; Nayebi, Kambiz

  • Volume
    11
  • Issue
    1
  • fYear
    2004
  • Firstpage
    48
  • Lastpage
    51
  • Abstract
    In this letter, we compute the variation of the mutual information, resulting from a small variation in its argument. Although the result can be applied in many problems, we consider only one example: the result is used for deriving a new method for blind source separation in linear mixtures. The experimental results emphasize the performance of the resulting algorithm.
  • Keywords
    blind source separation; independent component analysis; information theory; signal processing; blind source separation; differential; independent component analysis; linear mixtures; mutual information; Algorithm design and analysis; Blind source separation; Independent component analysis; Mutual information; Random variables; Signal analysis; Signal generators; Signal processing algorithms; Source separation; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.819344
  • Filename
    1255922