NDLI: Translation-invariant wavelet de-noising method with improved thresholding

Content Provider	IEEE Xplore Digital Library
Author	Li Su Guoliang Zhao Renyan Zhang
Copyright Year	2005
Description	Author affiliation: Coll. of Autom., Harbin Eng. Univ., China (Li Su; Guoliang Zhao; Renyan Zhang)
Abstract	Wavelet thresholding de-noising method based on discrete wavelet transform (DWT) proposed by Donoho et al. is a standard wavelet de-noising method. At first, this paper proposes an improved thresholding de-noising method based on Donoho's method. The advantage of the improved de-noising method is that it may not only remain the edge of original signal efficiently, but also suppress impulsive noise to some extent. Furthermore, the traditional wavelet thresholding de-noising method causes Pseudo-Gibbs phenomena in the neighborhood of the singularities due to DWT. In order to suppress Pseudo-Gibbs phenomena, a new de-noising method combining above improved thresholding with the translation-invariant (Tl) wavelet transform is proposed in this paper. The experimental results indicate that the proposed methods in the paper are better than traditional wavelet thresholding de-noising methods.
Starting Page	619
Ending Page	622
File Size	782613
Page Count	4
File Format	PDF
ISBN	0780395387
DOI	10.1109/ISCIT.2005.1566931
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Automation Noise reduction Interference White noise Educational institutions Time frequency analysis Discrete wavelet transforms Signal denoising Wavelet coefficients
Content Type	Text
Resource Type	Article

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