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Characterization of DWT as denoising method for φ-OTDR signal

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Main Authors: M. S., Yusri, B., Faisal, A., Ismail, N. L., Saleh, M. F., Ismail, N. D., Nordin, A. H., Sulaiman, F., Abdullah, M. Z., Jamaludin
Other Authors: aiman@uniten.edu.my
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2022
Subjects:
φ-OTDR
Wavelet denoising
Signal processing
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74993
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spelling my.unimap-749932022-04-15T02:05:36Z Characterization of DWT as denoising method for φ-OTDR signal M. S., Yusri B., Faisal A., Ismail N. L., Saleh M. F., Ismail N. D., Nordin A. H., Sulaiman F., Abdullah M. Z., Jamaludin aiman@uniten.edu.my φ-OTDR Wavelet denoising Signal processing Link to publisher's homepage at http://ijneam.unimap.edu.my DAS system based on φ-OTDR technique suffers from random noises that affect the signalto- noise-ratio of the extracted signals. This results in high false alarm rate, reducing the capabilities of the systems to detect vibration signals. This paper presented a thorough analysis of a denoising method using discrete wavelet function (DWT). We implemented and compared different mother wavelets such as Symlet 4, Haar, Daubechies 4 (Db4), Biorthogonal 4.4 (Bior4.4), Coiflets 3 (Coif3), Discrete approximation of Meyer wavelet (dmey), Fejér-Korovkin filters 8 (fk8) and Reverse Biorthogonal 6.8 (rbio6.8), using multiple levels of decomposition. Four denoising thresholds, Empirical Bayes, Universal Threshold, Stein's Unbiased Risk Estimation (SURE), and Minimax Estimation (Minimax) were characterized using soft threshold rule. From the results obtained, the combination of the Daubechies 4 wavelet function, level 3 decomposition, SURE denoising threshold with soft threshold rule produces the best denoising performance on the φ-OTDR data. 2022-04-15T02:05:36Z 2022-04-15T02:05:36Z 2021-12 Article International Journal of Nanoelectronics and Materials, vol.14 (Special Issue), 2021, pages 333-340 1985-5761 (Printed) 1997-4434 (Online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74993 http://ijneam.unimap.edu.my 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 φ-OTDR
Wavelet denoising
Signal processing
spellingShingle φ-OTDR
Wavelet denoising
Signal processing
M. S., Yusri
B., Faisal
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
Characterization of DWT as denoising method for φ-OTDR signal
description Link to publisher's homepage at http://ijneam.unimap.edu.my
author2 aiman@uniten.edu.my
author_facet aiman@uniten.edu.my
M. S., Yusri
B., Faisal
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
format Article
author M. S., Yusri
B., Faisal
A., Ismail
N. L., Saleh
M. F., Ismail
N. D., Nordin
A. H., Sulaiman
F., Abdullah
M. Z., Jamaludin
author_sort M. S., Yusri
title Characterization of DWT as denoising method for φ-OTDR signal
title_short Characterization of DWT as denoising method for φ-OTDR signal
title_full Characterization of DWT as denoising method for φ-OTDR signal
title_fullStr Characterization of DWT as denoising method for φ-OTDR signal
title_full_unstemmed Characterization of DWT as denoising method for φ-OTDR signal
title_sort characterization of dwt as denoising method for φ-otdr signal
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2022
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74993
_version_ 1738511687296745472
score 13.222552

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