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Infomax and maximum likelihood for blind source separation

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1 Author(s)
Cardoso, J. ; Ecole Normale Superieure, Paris, France

Algorithms for the blind separation of sources can be derived from several different principles. This article shows that the infomax (information-maximization) principle is equivalent to the maximum likelihood. The application of the infomax principle to source separation consists of maximizing an output entropy.

Published in:

Signal Processing Letters, IEEE  (Volume:4 ,  Issue: 4 )