• DocumentCode
    2240345
  • Title

    Blind identifiability of class of nonlinear instantaneous ICA models

  • Author

    Eriksson, Jan ; Koivunen, Visa

  • Author_Institution
    Signal Process. Lab., Helsinki Univ. of Technol., Helsinki, Finland
  • fYear
    2002
  • fDate
    3-6 Sept. 2002
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The identifiability/separability of nonlinear instantaneous ICA models is considered. The identifiability proof is constructed for the class of nonlinearities satisfying addition theorem. Addition theorem covers wide variety of nonlinear mixing systems of engineering interest. An algorithm for separating such nonlinear mixtures is presented and the feasibility of the approach is demonstrated.
  • Keywords
    blind source separation; image processing; independent component analysis; blind identifiability; blind separability; independent component analysis; nonlinear instantaneous ICA model; nonlinear mixing system; Abstracts; Reliability; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2002 11th European
  • Conference_Location
    Toulouse
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7072274
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2240345