An information-theoretic approach to positive time-frequency distributions

Author

Loughlin, Patrick J. ; Pitton, James W. ; Atlas, Les E.

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

5

fYear

1992

fDate

23-26 Mar 1992

Firstpage

125

Abstract

The principle of minimum cross entropy (MCE) is used to generate positive distributions in the Cohen-Posch (1985) class of proper time-frequency distributions (TFDs). The MCE-TFDs are not only intuitively satisfying, but they also yield the correct marginals, have strong finite support, and are everywhere nonnegative. The usual cross-term artifacts that hinder interpretation of other time-frequency representations (most notably, the Wigner-Ville) are not a problem with the MCE-TFDs. Examples of speech and chirps are given and compared to the spectrogram. An interesting observation in the case of speech is that spectrograms more closely resemble time-conditional-frequency distributions (narrowband) or frequency-conditional-time distributions (wideband) than they do joint time-frequency distributions

Keywords

frequency-domain analysis; information theory; spectral analysis; time-domain analysis; chirps; information theory; marginals; minimum cross entropy; positive time-frequency distributions; spectral analysis; spectrogram; speech; Chirp; Entropy; Laboratories; Signal generators; Signal resolution; Spectral analysis; Spectrogram; Speech synthesis; Time frequency analysis; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226642

Filename

226642