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Proceedings Paper

Nonlinear Wigner-Ville spectrum estimation using wavelet soft-thresholding
Author(s): Richard G. Baraniuk
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Paper Abstract

The large variance of the Wigner-Ville distribution makes smoothing essential for producing readable estimates of the time-varying power spectrum of noise-corrupted signals. Since linear smoothing trades reduced variance for increased bias of the signal components, we explore two nonlinear estimation techniques based on soft thresholding in an orthonormal basis representation. Soft thresholding provides considerable variance reduction without greatly impairing the time-frequency resolution of the estimated spectrum.

Paper Details

Date Published: 6 April 1995
PDF: 10 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205429
Show Author Affiliations
Richard G. Baraniuk, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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