Matlab toolbox for separation of convolutive mixtures

Toolbox main page
How to use the toolbox
  Getting started
  Parameters/advanced usage
Separation algorithm
  The deflation method
  Contrast functions


    Deflation and kurtosis based contrasts

  1. C. Simon, Ph. Loubaton and C. Jutten, Separation of a class of convolutive mixtures: a contrast function approach. Signal Processing, Volume 81, Issue 4, April 2001, pp.883-887.

    Link between kurtosis based and quadratic contrasts

  2. M. Castella and E. Moreau, New kurtosis optimization schemes for MISO equalization. IEEE Trans. Signal Processing, Vol. 60, Issue 3, March 2012, pp.1319-1330. [pdf]

    Quadratic contrasts

  3. M. Castella, S. Rhioui, E. Moreau and J.-C. Pesquet, Quadratic Higher-Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources. IEEE Trans. Signal Processing, Vol. 55, Issue 1, Jan. 2007 pp.218-232. [pdf]
  4. M. Castella, E. Moreau and J.-C. Pesquet, A quadratic MISO contrast function for blind equalization. Proc. of ICASSP 2004, pp.681-684, Vol.2, Montréal, Canada.
  5. M. Castella, S. Rhioui, E. Moreau and J.-C. Pesquet, Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics. Proc. of ICASSP 2005, pp.569-572, Vol.3, Philadelphia, USA.

    Cubic contrasts

  6. Rémi Dubroca, Christophe De Luigi, Marc Castella and Eric Moreau, A General Algebraic Algorithm for Blind Extraction of One Source in a MIMO Convolutive Mixture. IEEE Trans. Signal Processing, Vol. 58, Issue 5, May 2010, pp.2484-2493. [pdf]

    WWW references

    Some of the above references may be available on the web and you should check the following interesting links:
  7. publication page list of the laboratory
  8. Marc Castella's personnal webpage
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