Characterization of DWT as denoising method for φ-OTDR signal
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Universiti Malaysia Perlis (UniMAP)
2022
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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) |
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English |
| topic |
φ-OTDR Wavelet denoising Signal processing |
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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 |