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

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2 Author(s)
Garudadri, H. ; MPR Teltech Ltd., Burnaby, BC, Canada ; Velez, E.

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

Published in:

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

Date of Conference:

14-17 Apr 1991