论文信息 - Infomax and maximum likelihood for blind source separation

Infomax and maximum likelihood for blind source separation

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.

J. Cardoso

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