• DocumentCode
    2975193
  • Title

    A MAP solution to blind source separation

  • Author

    Igual, Jorge ; Vergara, Luis

  • Author_Institution
    Dept. of Comunicaciones, Univ. Politecnica de Valencia, Spain
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    In blind source separation nothing is supposed about the mixing matrix. Nevertheless, sometimes we have a previous knowledge about some of the elements aij, not about the structure of the mixing matrix. We model this a priori knowledge with a probability density function, then a maximum a posteriori (MAP) or Bayes approach to the problem is proposed in this paper
  • Keywords
    Bayes methods; matrix algebra; maximum likelihood estimation; probability; signal processing; Bayes approach; MAP estimation; a priori knowledge; blind source separation; maximum a posteriori estimation; mixing matrix; probability density function; Array signal processing; Bibliographies; Blind source separation; Contracts; Decorrelation; Density functional theory; Probability density function; Source separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Caesarea
  • Print_ISBN
    0-7695-0140-0
  • Type

    conf

  • DOI
    10.1109/HOST.1999.778705
  • Filename
    778705
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2975193