Abstract
The Wigner distribution is shown to be a useful tool for the analysis of speech data. Cross-terms which characterize the Wigner distribution of multi-component signals have been suppressed using the smoothed pseudo Wigner estimator. This estimator possesses several advantages over the short time periodogram. Comparison of the SPWD to that of the spectrogram reveals that much better resolution is achieved by the SPWD.

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