• DocumentCode
    1386888
  • Title

    Improving stability in blind source separation with stochastic median gradient

  • Author

    Murillo-Fuentes, J.J. ; Gonzalez-Serrano, F.J.

  • Author_Institution
    Area de Teoria de la Senal y Comunicaciones, Carlos III Univ., Madrid, Spain
  • Volume
    36
  • Issue
    19
  • fYear
    2000
  • fDate
    9/14/2000 12:00:00 AM
  • Firstpage
    1662
  • Lastpage
    1664
  • Abstract
    A new online learning algorithm is derived for blind separation of mixed signals with symmetric distributions. The stability of the method is analysed and compared with the natural gradient method. It is proved that the set of stability conditions obtained is less stringent. Some experiments are included
  • Keywords
    learning (artificial intelligence); signal processing; stability; stochastic processes; blind source separation; mixed signals; online learning algorithm; stability conditions; stability improvement; stochastic median gradient; symmetric distributions;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20001157
  • Filename
    871178
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1386888