Minimum entropy algorithms for source separation

The minimum entropy or maximum likelihood estimation can be utilized in blind source separation problem. Based on the local generalized Gaussian probability density model, a set of general anti-Hebbian rules can be derived. This set of adaptation rules give promising results when we test the real re...

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Bibliographic Details

Published in:	Circuits and Systems; Proceedings: Midwest Symposium on Circuits and Systems pp. 242 - 245
Main Authors:	Hsiao-Chun Wu, Principe, J.C.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 1998
Subjects:	Blind source separation Entropy Equations Finite impulse response filter Gaussian distribution Maximum likelihood estimation Noise reduction Probability density function Source separation Testing
ISBN:	9780818689147, 0818689145
Online Access:	Get full text
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