Blind source separation

Higher Edu - Research dev card
Development from the higher education and research community
  • Creation or important update: 04/03/11
  • Minor correction: 04/03/11

Blind source separation : Matlab toolbox

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
  • Web site
  • System: UNIX-like, Windows, MacOS X
  • Current version: 2.0.2 - Jul. 2010
  • License(s): not yet chosen
  • Status: stable release
  • Support: maintained, no ongoing development
  • Designer(s): Pierre Jallon, Marc Castella
  • Contact designer(s):
  • Laboratory, service: CITI INT, LIGM


General software features

This toolbox is designed for Matlab and can be used to separate convolutive mixtures of signals.

Context in which the software is used

Cyclo-stationnary source separation.

Publications related to the software
  • Deflation and kurtosis based contrasts
    • 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.
  • Quadratic contrasts
    • 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.
    • 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, Montr√©al, Canada.
    • 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.
  • Other references at: