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Characterization of DWT as Denoising Method for ?-OTDR Signal

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dc.contributor.authorYusri M.S.en_US
dc.contributor.authorFaisal B.en_US
dc.contributor.authorIsmail A.en_US
dc.contributor.authorSaleh N.L.en_US
dc.contributor.authorIsmail M.F.en_US
dc.contributor.authorNordin N.D.en_US
dc.contributor.authorSulaiman A.H.en_US
dc.contributor.authorAbdullah F.en_US
dc.contributor.authorJamaludin M.Z.en_US
dc.contributor.authorid57480859600en_US
dc.contributor.authorid57209973264en_US
dc.contributor.authorid36023817800en_US
dc.contributor.authorid57198797134en_US
dc.contributor.authorid57211721986en_US
dc.contributor.authorid57217851042en_US
dc.contributor.authorid36810678100en_US
dc.contributor.authorid56613644500en_US
dc.contributor.authorid57216839721en_US
dc.date.accessioned2023-05-29T09:05:17Z
dc.date.available2023-05-29T09:05:17Z
dc.date.issued2021
dc.description.abstractDAS system based on ?-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), Fej�r-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 ?-OTDR data. � 2021, Universiti Malaysia Perlis. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage340
dc.identifier.issueSpecial Issue InCAPE
dc.identifier.scopus2-s2.0-85126847328
dc.identifier.spage333
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126847328&partnerID=40&md5=a9a61e55adb6d66d3a3c0792258d29e3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25851
dc.identifier.volume14
dc.publisherUniversiti Malaysia Perlisen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Nanoelectronics and Materials
dc.titleCharacterization of DWT as Denoising Method for ?-OTDR Signalen_US
dc.typeArticleen_US
dspace.entity.typePublication
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