• DocumentCode
    3488452
  • Title

    A new demixer scheme for blind source separation using general neural network model

  • Author

    Woo, W.L. ; Sali, S.

  • Author_Institution
    Dept. of Electr. Eng., Newcastle Univ., Newcastle upon Tyne, UK
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    379
  • Abstract
    A new demixer scheme for blind source separation from instantaneous mixtures has been presented using a general neural network model. It is proven that the existing neural network demixer schemes used for blind source separation can be classed as simpler versions of the new model. Computer simulations are presented to demonstrate that the new scheme is more robust and faster to converge than the existing schemes
  • Keywords
    neural nets; signal processing; blind source separation; convergence; demixer scheme; general neural network model; instantaneous mixtures; Application software; Blind source separation; Independent component analysis; Microelectronics; Neural networks; Neurofeedback; Signal processing; Signal processing algorithms; Source separation; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and its Applications, Sixth International, Symposium on. 2001
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    0-7803-6703-0
  • Type

    conf

  • DOI
    10.1109/ISSPA.2001.950159
  • Filename
    950159
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3488452