New self-adaptative algorithms for source separation based on contrast functions

Proceedings - IEEE Signal Processing Workshop on Higher-Order Statistics, HOST 1993

Volumn , Issue , 1993, Pages 215-219

  Moreau, E ^a,b   Macchi, O ^a,b  

^a CNRS   (France)

^b Groupement de Recherche TDSI ^*  (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; HIGHER ORDER STATISTICS; SEPARATION;

ADAPTIVE PREPROCESSING; CONTRAST FUNCTIONS; CUMULANTS; GIVENS ROTATION; INDEPENDENT COMPONENTS; SELF ADAPTIVE ALGORITHMS;

SOURCE SEPARATION;

EID: 84991704154     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HOST.1993.264564     Document Type: Conference Paper

References (4)

1. C. Jut ten and J. Herault, "Blind Separation of Sources, Part I: An Adaptative Algorithm Based on Neuromimetic Architecture", Signal Processing, pp 1-10, Vol. 24, 1991.
2. P. Comon, "Blind Identification in Presence of Noise", EUSIPCO'92, European Signal Processing Conference, Brussels, Belgium, pp 835-838, August 24-27, 1992.
3. P. Comon, "Independent Component Analysis, a New Concept?", submitted to Signal Process-tug, March 1992.
4. Ph. Regalia, "An Adaptive Unit Norm Filter with Applications to Signal Analysis and Karhunen-Loeve Transformation", IEEE Trans. Circuits and Systems, pp 646-649, Vol. 37, No. 5, May 1990.