Infomax and maximum likelihood for blind source separation

IEEE Signal Processing Letters

Volumn 4, Issue 4, 1997, Pages 112-114

  Cardoso, Jean François ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM PRINCIPLE; OPTIMIZATION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; VECTORS;

BLIND SOURCE SEPARATION; MAXIMUM LIKELIHOOD;

SIGNAL PROCESSING;

EID: 0031122399     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.566704     Document Type: Article

References (5)

1. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput., vol. 7, no. 6, pp. 1004-1034.
2. J.-F. Cardoso, "The equivariant approach to source separation," in Proc. NOLTA. 1995, pp. 55-60. Available as {ftp://sig.enst.fr/pub/jfc/Papers/nolta95.ps.gz}.
3. T. M. Cover and J. A. Thomas, Elements of Information Theory: Wiley Series in Telecommunications. New York: Wiley, 1991.
4. P. Comon, "Independent component analysis, a new concept?." Signal Processing, vol. 36, no. 3, pp. 287-314, 1988.
5. D.-T. Pham, P. Garrat, and C. Jutten, "Separation of a mixture of independent sources through a maximum likelihood approach," in Proc. EUSIPCO, 1992, pp. 771-774.