Mdl-Based Translation-Invariant Denoising And Robust Time-Frequency Representations

Mdl-Based Translation-Invariant Denoising And Robust Time-Frequency Representations (1998)

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by Israel Cohen Shalom , Israel Cohen , Shalom Raz , David Malah

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Proc. of the 4th IEEE-SP Int. Symposium on Time-Frequency and Time-Scale Analysis

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Datum	Value	Source
TITLE	Mdl-Based Translation-Invariant Denoising And Robust Time-Frequency Representations	user correction - Legacy Corrections
AUTHOR NAME	Israel Cohen Shalom	user correction - Legacy Corrections
AUTHOR NAME	Israel Cohen	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Electrical Engineering, Technion--- Israel Institute of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Technion City, Haifa 32000, Israel.	user correction - Legacy Corrections
AUTHOR NAME	Shalom Raz	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Electrical Engineering, Technion--- Israel Institute of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Technion City, Haifa 32000, Israel.	user correction - Legacy Corrections
AUTHOR NAME	David Malah	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Electrical Engineering, Technion--- Israel Institute of Technology	user correction - Legacy Corrections
AUTHOR ADDR	Technion City, Haifa 32000, Israel.	user correction - Legacy Corrections
ABSTRACT	A translation-invariant denoising method, based on the Minimum Description Length (MDL) criterion and the Shift-Invariant Wavelet Packet Decomposition (SIWPD) is presented. A collection of signal models is generated using an extended library of orthonormal wavelet-packet bases, and an additive cost function, approximately representing the MDL principle, is derived. We show that the minimum description length of the noisy observed data is achieved by utilizing the SIWPD and thresholding the resulting coefficients. The signal estimator is combined with a modified Wigner distribution, yielding robust time-frequency representations, characterized by high resolution and suppressed interference-terms. The proposed method is compared with alternative approaches, and its superiority is demonstrated. 1. INTRODUCTION The use of wavelet bases for estimating noisy signals has been the object of considerable recent research. Traditional methods often entail noise removal by low-pass filtering, thu...	user correction - Legacy Corrections
YEAR	1998	INFERENCE
VENUE	Proc. of the 4th IEEE-SP Int. Symposium on Time-Frequency and Time-Scale Analysis	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
VOLUME	6	INFERENCE
CITATIONS	14 found	ParsCit 1.0