On estimation of entropy and mutual information of continuous distributions

R. Moddemeijer

University of Twente, Department of Electrical Engineering,
P.O. Box 217, NL-7500 AE Enschede, The Netherlands,

present addres

University of Groningen, Department of Computing Science,
P.O. Box 800, NL-9700 AV Groningen, The Netherlands,
phone: +31.50.363 3940 - fax: +31.50.363 38005 - e-mail: rudy@cs.rug.nl

Abstract

Mutual information is used in a procedure for estimation of time-delays between electroencephalogram (EEG) signals. Our presentation deals with a histogram method to estimate entropy and mutual information from signals sampled and discusses its accuracy. The results are compared with earlier work.

Published

EUSIPCO-86, 1986, Eds. Young, I.T. et. al., pp. 1033-1035, North-Holland, Amsterdam, September 2-5, BibTeX
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