A comparison of smoothing kernels for computing bilinear time-frequency representations

Author

Garudadri, Harinath ; Velez, Edgar

Author_Institution

MPR Teltech Ltd., Burnaby, BC, Canada

fYear

1991

fDate

14-17 Apr 1991

Firstpage

3221

Abstract

Bilinear representations of Cohen´s class are expressed as the Wigner distribution (WD) of the signal convolved with a kernel defined as a 2-D window in time and frequency. Gaussian, exponential and cone kernels are compared by examining their local behavior in the time-frequency plane. It is demonstrated that kernel spread and localization properties are important concerns for analyzing time-varying signals. The cone kernel has good cross-term suppression for speech-like signals because of its large time extent. An effect of this is to enhance stationary terms and attenuate time-varying terms

Keywords

filtering and prediction theory; signal processing; speech analysis and processing; Cohen-class bilinear representations; Gaussian kernels; Wigner distribution; bilinear time-frequency representations; cone kernels; exponential kernels; kernel spread; localization properties; signal analysis; smoothing kernels; speech signals; time-varying signals; Convolution; Kernel; Narrowband; Signal analysis; Signal generators; Signal resolution; Smoothing methods; Speech analysis; Testing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150141

Filename

150141