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Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal

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Main Authors: Hanan, A. R. Akkar, Wael, A. H. Hadi, Ibraheem, H. M. Al-Dosari
Other Authors: dr_hananuot@yahoo.com
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
SNR (Signal to Noise Ratio)
Cross Correlation
Signal Denoising
Sawtooth Wavelet Thresholding
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/58779
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spelling my.unimap-587792019-03-06T09:52:32Z Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal Hanan, A. R. Akkar Wael, A. H. Hadi Ibraheem, H. M. Al-Dosari dr_hananuot@yahoo.com SNR (Signal to Noise Ratio) Cross Correlation Signal Denoising Sawtooth Wavelet Thresholding Link to publisher's homepage at http://ijneam.unimap.edu.my Wavelet families have different statistical characteristics and specifications which give them a different response against the same signal or image when they are used for a certain task such as signal denoising. Therefore, a comparison evaluation study using new proposed procedure is required to obtain the optimal results when wavelet analysis tool is used to remove the noise from a synthetic signal. In this work, a sawtooth wavelet thresholding method is proposed and evaluated as compared to the other wavelet thresholding methods such as (soft and hard). The main goal of this work is to design and implement a new wavelet thresholding method and evaluate it against other classical wavelet thresholding methods and hence search for the optimal wavelet mother function among the above mentioned families with a suitable level of decomposition followed by a novel thresholding method among the existing methods. This optimal method will be used to shrink the wavelet coefficients and yield an adequate denoised pressure signal prior the transmission. There are different performance indices to establish the comparison and evaluation process for signal denoising; but the most well-known measuring scores are: NMSE (normalized mean square error), ESNR (enhancement of signal to noise ratio), and PDR (percentage root mean squared difference). The obtained results shown the outperformance of the sawtooth wavelet thresholding method against other methods using different measuring scores and hence the conclusion is to suggest the adopting of this proposed wavelet thresholding for 1D signal denoising in future researches. 2019-03-06T09:52:32Z 2019-03-06T09:52:32Z 2019-01 Article International Journal of Nanoelectronics and Materials, vol.12(1), 2019, pages 67-74 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/58779 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic SNR (Signal to Noise Ratio)
Cross Correlation
Signal Denoising
Sawtooth Wavelet Thresholding
spellingShingle SNR (Signal to Noise Ratio)
Cross Correlation
Signal Denoising
Sawtooth Wavelet Thresholding
Hanan, A. R. Akkar
Wael, A. H. Hadi
Ibraheem, H. M. Al-Dosari
Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 dr_hananuot@yahoo.com
author_facet dr_hananuot@yahoo.com
Hanan, A. R. Akkar
Wael, A. H. Hadi
Ibraheem, H. M. Al-Dosari
format Article
author Hanan, A. R. Akkar
Wael, A. H. Hadi
Ibraheem, H. M. Al-Dosari
author_sort Hanan, A. R. Akkar
title Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
title_short Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
title_full Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
title_fullStr Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
title_full_unstemmed Implementation of Sawtooth Wavelet Thresholding for Noise Cancellation in One Dimensional Signal
title_sort implementation of sawtooth wavelet thresholding for noise cancellation in one dimensional signal
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/58779
_version_ 1643805992750678016
score 13.223943

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