• DocumentCode
    3240389
  • Title

    Blind source separation using time-frequency concepts

  • Author

    Fahmy, M.F. ; Amin, Osama M H ; Hasan, Yassin M Y ; El-Raheem, G.M.

  • Author_Institution
    Electr. Eng. Dept., Assiut Univ., Egypt
  • fYear
    2004
  • fDate
    18-21 Dec. 2004
  • Firstpage
    250
  • Lastpage
    253
  • Abstract
    In this paper two methods are described for blind signal separation (BSS) based on time frequency distributions TFDs of the received mixed signals. Consequently, they are most suitable to deal with nonstationary mixed signals. The first method determines the decoupling system through setting to zero coefficients of the ambiguity function of the received mixed signals at the edges of its distribution plane. Computations have revealed that this approach is only successful when their TFD signatures, are partially overlapped When the TFD signatures are highly overlapped, an alternate approach is described that determines the elements of the decoupling system through decorrelating the respective rows of the received TFD data matrices. Illustrative examples are given showing that the proposed approaches work when other approaches based on higher order statistics HOS fail to yield satisfactory results.
  • Keywords
    blind source separation; higher order statistics; time-frequency analysis; BSS; HOS; TFD; ambiguity function; blind signal separation; decoupling system; higher order statistics; nonstationary mixed signal; time frequency distribution; Biomedical signal processing; Blind source separation; Computational complexity; Covariance matrix; Decorrelation; Higher order statistics; Maximum likelihood detection; Noise cancellation; Source separation; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
  • Print_ISBN
    0-7803-8689-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2004.1433733
  • Filename
    1433733