• DocumentCode
    351038
  • Title

    Non-stationary independent component analysis

  • Author

    Everson, Richard ; Roberts, Stephen J.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll., London, UK
  • Volume
    1
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    503
  • Abstract
    Blind source separation with non-stationary mixing, but stationary sources is considered. The linear mixing of the independent sources is modelled as evolving according to a first order Markov process, and a method for tracking the mixing and simultaneously inferring the sources is presented. Observational noise is included in the model. The technique is illustrated with numerical examples
  • Keywords
    signal detection; Markov process; blind source separation; independent component analysis; probability; smoothing method; stationary sources; tracking;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-721-7
  • Type

    conf

  • DOI
    10.1049/cp:19991159
  • Filename
    819771
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=351038