Data processing using information theory functionals

Rallis C. Papademetriou (Department of Electrical and Electronic Engineering, University of Portsmouth, Portsmouth, UK)

Kybernetes

ISSN: 0368-492X

Publication date: 1 April 1998

Abstract

This paper presents an overview of three information‐theoretic methods, which have been used extensively in many areas such as signal/image processing, pattern recognition and statistical inference. These are: the maximum entropy (ME), minimum cross‐entropy (MCE) and mutual information (MI) methods. The development history of these techniques is reviewed, their essential philosophy is explained, and typical applications, supported by simulation results, are discussed.

Keywords

Citation

Papademetriou, R. (1998), "Data processing using information theory functionals", Kybernetes, Vol. 27 No. 3, pp. 264-272. https://doi.org/10.1108/03684929810209478

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Publisher

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MCB UP Ltd

Copyright © 1998, MCB UP Limited

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