DocumentCode :
2936747
Title :
Measuring time-frequency information and complexity using the Renyi entropies
Author :
Baraniuk, Richard G. ; Flandrin, Patrick ; Michel, Olivier
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
426
Abstract :
In search of a nonparametric indicator of deterministic signal complexity, we link the Renyi entropies to time-frequency representations. The resulting measures show promise in several situations where concepts like the time-bandwidth product fail
Keywords :
entropy; Renyi entropies; deterministic signal complexity; nonparametric indicator; signal processing; time-frequency information measurement; time-frequency representations; Entropy; Gaussian noise; Shape measurement; Signal processing; Smoothing methods; Time frequency analysis; White noise; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.550413
Filename :
550413
Link To Document :
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