Nonlinear Wigner-Ville spectrum estimation using wavelet soft-thresholding

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsHarold H. Szu
Pages661-670
Number of pages10
Volume2491
Edition1/-
StatePublished - Dec 1 1995
EventWavelet Applications II. Part 1 (of 2) - Orlando, FL, USA
Duration: Apr 17 1995Apr 21 1995

Other

OtherWavelet Applications II. Part 1 (of 2)
CityOrlando, FL, USA
Period4/17/954/21/95

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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