Wigner-Ville spectrum estimation via wavelet soft-thresholding

Richard G. Baraniuk

Wigner-Ville spectrum estimation via wavelet soft-thresholding

Richard G. Baraniuk

Houston Methodist

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Unknown Host Publication Title
Editors	Anon
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	452-455
Number of pages	4
State	Published - Dec 1 1994
Event	Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Philadelphia, PA, USA Duration: Oct 25 1994 → Oct 28 1994

Other

Other	Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
City	Philadelphia, PA, USA
Period	10/25/94 → 10/28/94

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Wigner-Ville spectrum estimation via wavelet soft-thresholding",

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.",

author = "Baraniuk, \{Richard G.\}",

year = "1994",

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language = "English",

pages = "452--455",

editor = "Anon",

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note = "Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis ; Conference date: 25-10-1994 Through 28-10-1994",

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T1 - Wigner-Ville spectrum estimation via wavelet soft-thresholding

AU - Baraniuk, Richard G.

PY - 1994/12/1

Y1 - 1994/12/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0028698317

UR - https://www.scopus.com/inward/citedby.url?scp=0028698317&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0028698317

SP - 452

EP - 455

BT - Unknown Host Publication Title

A2 - Anon, null

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

Y2 - 25 October 1994 through 28 October 1994

ER -

Wigner-Ville spectrum estimation via wavelet soft-thresholding

Abstract

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ASJC Scopus subject areas

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