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Comparison of maximum entropy and minimal mutual information in a nonlinear setting

Theis, Fabian J. and Bauer, Christoph and Lang, Elmar (2002) Comparison of maximum entropy and minimal mutual information in a nonlinear setting. Signal Processing 82, pp. 971-980.

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Other URL: http://homepages.uni-regensburg.de/~thf11669/publications/theis01memmi_SP.pdf


Abstract

In blind source separation (BSS), two different separation techniques are mainly used: Minimal Mutual Information (MMI), where minimization of the mutual output information yields an independent random vector, and Maximum Entropy (ME), where the output entropy is maximized. However, it is yet unclear why ME should solve the separation problem, ie. result in an independent vector. Yang and Amari ...

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Export bibliographical data

Item Type:Article
Date:2002
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Projects:Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht
Subjects:500 Science > 530 Physics
500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Owner: Redakteur Physik
Deposited On:20 Mar 2007
Last Modified:04 Oct 2010 09:25
Item ID:1552
Owner Only: item control page
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