DocumentCode
336259
Title
Estimating the entropy of a signal with applications
Author
Bercher, J.E. ; Vignat, C.
Author_Institution
ESIEE, Equipe Commun. Numeriques, Noisy-le-Grand, France
Volume
3
fYear
1999
fDate
15-19 Mar 1999
Firstpage
1705
Abstract
We present an estimator of the entropy of a signal. The basic idea is to adopt a model of the probability law, in the form of an AR spectrum. Then, the law parameters can be estimated from the data. We examine the statistical behavior of our estimates of laws and entropy. Finally, we give several examples of applications: an adaptive version of our entropy estimator is applied to detection of law changes, blind deconvolution and sources separation
Keywords
adaptive estimation; autoregressive processes; deconvolution; entropy; parameter estimation; probability; AR spectrum; adaptive entropy estimator; blind deconvolution; changes detection; entropy; law parameter; probability law; signal; sources separation; statistical behavior; Adaptive signal processing; Convergence; Deconvolution; Entropy; Information theory; Kernel; Parameter estimation; Probability; Random variables; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.756322
Filename
756322
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