Mutual information approach to blind separation of stationary sources

IEEE Transactions on Information Theory

Volumn 48, Issue 7, 2002, Pages 1935-1946

  Pham, Dinh Tuan ^a,b  

^a IEEE   (France)

^b IMAG CNRS   (France)

Author keywords

Contrast; Convolution; Entropy; Independent component analysis; Kullback Leibler divergence; Mutual information; Separation of sources; Stationary process

Indexed keywords

INDEPENDENT SIGNALS;

CONVOLUTION; ENTROPY; INDEPENDENT COMPONENT ANALYSIS; INFORMATION THEORY;

BLIND SOURCE SEPARATION;

EID: 0036648194     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2002.1013134     Document Type: Article

References (14)

1. A blind source separation technique using second-order statistics
2. Blind signal separation: Statistical principles
3. Independent components analysis, a new concept
4. Conditional likelihood and unconditional optimum estimating equations
5. Blind separation of sources, Part I: An adaptative algorithm based on neuromimetic structure
6. Blind separation of instantaneous mixture of sources via an independent component analysis
7. Blind separation of mixtures of independent sources through a quasi maximum likelihood approach
8. Mutual information approach to blind separation of sources
9. Blind separation of instantaneous mixture of sources via the Gaussian mutual information criterion
10. Contrast functions for blind separation and deconvolution of sources