• DocumentCode
    1936848
  • Title

    A new blind separation approach to ill-condition mixed sources

  • Author

    Liu, Hailin ; Cheung, Yiu-Ming

  • Author_Institution
    Fac. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2005
  • fDate
    28-30 May 2005
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    In this paper, we discuss solution property for blind separation of ill-condition mixed sources and therefore derive a sufficient and necessary condition. Further, we present a new contrast function, through which a new algorithm is proposed to directly separate the sources without time-consuming iterative steps. Under a loose condition, It is proved that any source signals theoretically satisfying the condition can he successfully separated by our method. The computer simulation shows its outstanding performance on blind source separation.
  • Keywords
    blind source separation; eigenvalues and eigenfunctions; blind separation approach; contrast function; generalized eigenvalue; ill-condition mixed source; source signal; Blind source separation; Computer science; Computer simulation; Eigenvalues and eigenfunctions; Iterative algorithms; Mathematics; Signal processing algorithms; Source separation; Speech processing; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
  • Print_ISBN
    0-7803-9005-9
  • Type

    conf

  • DOI
    10.1109/IWVDVT.2005.1504569
  • Filename
    1504569