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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756322
