Time-frequency distribution of multi-component signals

The author proposes a double smoothing algorithm for the suppression of cross-terms in the pseudo-Wigner distribution estimate of multi-component signals. Since cross-terms are oscillatory and attain negative values, an 'adaptive' masking scheme has proven useful in locating and suppressin...

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Bibliographic Details
Published in:International journal of electronics 1989-07, Vol.67 (1), p.53-57
Main Author: KHADRA, L. M.
Format: Article
Language:English
Subjects:
Applied sciences
Exact sciences and technology
Information, signal and communications theory
Signal and communications theory
Signal representation. Spectral analysis
Signal, noise
Telecommunications and information theory
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Summary:The author proposes a double smoothing algorithm for the suppression of cross-terms in the pseudo-Wigner distribution estimate of multi-component signals. Since cross-terms are oscillatory and attain negative values, an 'adaptive' masking scheme has proven useful in locating and suppressing these interference terms. To smooth out noise, this masking scheme is followed by a linear filter. The advantage of this successive smoothing lies in the fact that the degree of linear smoothing is kept to a minimum, and thus more 'non-stationarities' are preserved. Experimental results on simulated data and real speech are presented.
ISSN:0020-7217
1362-3060
DOI:10.1080/00207218908921054