Infomax and maximum likelihood for blind source separation
- 1 April 1997
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Signal Processing Letters
- Vol. 4 (4), 112-114
- https://doi.org/10.1109/97.566704
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 4 references indexed in Scilit:
- Elements of Information TheoryPublished by Wiley ,2001
- Blind separation of mixture of independent sources through a quasi-maximum likelihood approachIEEE Transactions on Signal Processing, 1997
- An Information-Maximization Approach to Blind Separation and Blind DeconvolutionNeural Computation, 1995
- Independent component analysis, A new concept?Signal Processing, 1994