Wigner-Ville spectrum estimation via wavelet soft-thresholding

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

4 Scopus citations

Abstract

The high noise sensitivity of the Wigner distribution makes smoothing a necessity for producing readable time-frequency images of noise corrupted signals. Since linear smoothing suppresses noise at the expense of considerable smearing of the signal components, we explore two nonlinear denoising techniques based on soft-thresholding in an orthonormal basis representation. Soft-thresholding provides considerable noise reduction without greatly impairing the time-frequency resolution of the denoised distribution.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
Editors Anon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages452-455
Number of pages4
StatePublished - Dec 1 1994
EventProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Philadelphia, PA, USA
Duration: Oct 25 1994Oct 28 1994

Other

OtherProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityPhiladelphia, PA, USA
Period10/25/9410/28/94

ASJC Scopus subject areas

  • Engineering(all)

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