• DocumentCode
    435497
  • Title

    Decorrelation: sufficient for convolutive blind source separation?

  • Author

    Xi, Jiangtao ; Mei, Tiemin ; Chicharo, Joe ; Yin, Fuliang

  • Author_Institution
    Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
  • fYear
    2004
  • fDate
    20-22 Oct. 2004
  • Firstpage
    475
  • Lastpage
    478
  • Abstract
    This paper considers blind separation of signal sources in a convolutive mixing environment. It tries to show that decorrelation is sufficient for separation of convolutively mixed sources. Two algorithms are also proposed and tested by computer simulations.
  • Keywords
    blind source separation; convolution; decorrelation; convolutive blind source separation; convolutive mixing; decorrelation; Australia; Biomedical signal processing; Blind source separation; Computer simulation; Decorrelation; Finite impulse response filter; Signal processing algorithms; Source separation; Speech processing; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
  • Print_ISBN
    0-7803-8687-6
  • Type

    conf

  • DOI
    10.1109/ISIMP.2004.1434104
  • Filename
    1434104
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=435497