An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets

The problem of estimating a signal corrupted by additive noise has been of interest to many researchers for practical as well as theoretical reasons. Wavelet based methods have become increasingly popular, due to a number of advantages over the linear methods. A simulation-based analysis of some thr...

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Main Authors:	Dorel AIORDACHIOAIE, Anisia GOGU
Format:	Article
Language:	English
Published:	Universitatea Dunarea de Jos 2008-07-01
Series:	Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:	signal processing analysis denoising filtering thresholding simulation wavelets
Online Access:	http://www.ann.ugal.ro/eeai/archives/2008/Lucrare-05-Gogu.pdf

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spelling	doaj-e27cbe83016845d797906790dd5e109f2020-11-24T23:18:36ZengUniversitatea Dunarea de JosAnalele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică1221-454X2008-07-013112934An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets Dorel AIORDACHIOAIEAnisia GOGUThe problem of estimating a signal corrupted by additive noise has been of interest to many researchers for practical as well as theoretical reasons. Wavelet based methods have become increasingly popular, due to a number of advantages over the linear methods. A simulation-based analysis of some thresholding functions in the context of denoising application of wavelet transform was investigated. A probability based function to compute the threshold parameter is described and implemented in the Matlab-Simulink simulation environment, by using an estimation of the probability density function of the wavelet coefficients. The obtained results are at the same quality level with other procedures currently used in denoising.http://www.ann.ugal.ro/eeai/archives/2008/Lucrare-05-Gogu.pdfsignal processinganalysisdenoisingfilteringthresholdingsimulationwavelets
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Dorel AIORDACHIOAIE Anisia GOGU
spellingShingle	Dorel AIORDACHIOAIE Anisia GOGU An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică signal processing analysis denoising filtering thresholding simulation wavelets
author_facet	Dorel AIORDACHIOAIE Anisia GOGU
author_sort	Dorel AIORDACHIOAIE
title	An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
title_short	An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
title_full	An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
title_fullStr	An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
title_full_unstemmed	An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets
title_sort	algorithm for thresholding in the context of signal denoising with wavelets
publisher	Universitatea Dunarea de Jos
series	Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
issn	1221-454X
publishDate	2008-07-01
description	The problem of estimating a signal corrupted by additive noise has been of interest to many researchers for practical as well as theoretical reasons. Wavelet based methods have become increasingly popular, due to a number of advantages over the linear methods. A simulation-based analysis of some thresholding functions in the context of denoising application of wavelet transform was investigated. A probability based function to compute the threshold parameter is described and implemented in the Matlab-Simulink simulation environment, by using an estimation of the probability density function of the wavelet coefficients. The obtained results are at the same quality level with other procedures currently used in denoising.
topic	signal processing analysis denoising filtering thresholding simulation wavelets
url	http://www.ann.ugal.ro/eeai/archives/2008/Lucrare-05-Gogu.pdf
work_keys_str_mv	AT dorelaiordachioaie analgorithmforthresholdinginthecontextofsignaldenoisingwithwavelets AT anisiagogu analgorithmforthresholdinginthecontextofsignaldenoisingwithwavelets AT dorelaiordachioaie algorithmforthresholdinginthecontextofsignaldenoisingwithwavelets AT anisiagogu algorithmforthresholdinginthecontextofsignaldenoisingwithwavelets
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An Algorithm for Thresholding in the Context of Signal Denoising with Wavelets

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