Infomax and maximum likelihood for blind source separation
Author:
- 1 April 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 4 (4) , 112-114
Abstract
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.Keywords
This publication has 3 references indexed in Scilit:
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- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Independent component analysis, A new concept?Signal Processing, 1994