DocumentCode :
1334369
Title :
Positive time-frequency distributions based on joint marginal constraints
Author :
Fonollosa, Javier Rodríguez
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
Volume :
44
Issue :
8
fYear :
1996
fDate :
8/1/1996 12:00:00 AM
Firstpage :
2086
Lastpage :
2091
Abstract :
The authors study the formulation of members of the Cohen-Posch (1985) class of positive time-frequency energy distributions. Minimization of cross-entropy measures with respect to different priors and the case of no prior or maximum entropy were considered. They conclude that, in general, the information provided by the classical marginal constraints is very limited, and thus, the final distribution heavily depends on the prior distribution. To overcome this limitation, joint time and frequency marginals are derived based on a “direction invariance” criterion on the time-frequency plane that are directly related to the fractional Fourier transform
Keywords :
Fourier transforms; maximum entropy methods; minimisation; signal representation; spectral analysis; statistical analysis; time-frequency analysis; Cohen-Posch distributions; cross-entropy measures minimization; direction invariance criterion; fractional Fourier transform; frequency marginals; information theory; joint marginal constraints; maximum entropy; positive time-frequency energy distributions; spectrogram; time marginals; time-frequency plane; time-frequency representations; Australia; Constraint optimization; Entropy; Fourier transforms; Kernel; Signal analysis; Signal resolution; Spectrogram; Time frequency analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.533731
Filename :
533731
Link To Document :
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