• DocumentCode
    1749337
  • Title

    Frequency-domain contrast functions for separation of convolutive mixtures

  • Author

    Pesquet, Jean-Christophe ; Chen, Binning ; Petropulu, Athina P.

  • Author_Institution
    Lab. Systemes de Commun., Univ. de Marne-la-Vallee, Marne la Vallee, France
  • Volume
    5
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2765
  • Abstract
    This paper addresses the problem of blind separation of convolutive mixtures via contrast maximization. New frequency-domain contrast functions are constructed based on second and higher-order spectra of the observations. They allow one to separate mixtures of sources which are spatially independent, and temporally possibly non i.i.d. linear or non-linear processes. The proposed criteria provide a framework for extending to the convolutive case contrasts that have been proposed in the context of instantaneous mixtures
  • Keywords
    convolution; frequency-domain analysis; optimisation; signal processing; spectral analysis; blind separation; contrast maximization; convolutive mixtures separation; frequency-domain contrast functions; higher-order spectra; noni.i.d. nonlinear process; second order spectra; signal processing; spatially independent process; temporally noni.i.d. linear process; Biomedical engineering; Context; Error correction; Frequency division multiaccess; Frequency domain analysis; Frequency response; MIMO; Multiaccess communication; Redundancy; Seismology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.940219
  • Filename
    940219