[1] HU C J, LI J. The application of wavelet transform in analysis of OTDR curve[C]//IEEE. Proceeding of 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics, Los Alamitos: IEEE, 2010: 216-219.
[2] RAMJI T, PRASANT K S. Dynamic range enhancement of OTDR using lifting wavelet transform-modified particle swarm optimization sche-me[J]. IET Optoelectronics, 2019, 13(6): 295-302.
[3] CUI H M, ZHAO R M, HOU Y L. Improved threshold denoising method based on wavelet transform [J]. Physics Procedia, 2012, 33: 1354-1359.
[4] LI Q, ZHANG C X, LI C S. Fiber-optic distributed sensor based on phase-sensitive OTDR and wavelet packet transform for multiple distur-bances location[J]. Optik-International Journal for Light and Electron Optics, 2014, 125(24): 7235-7238.
[6] LIU F L, ZAROWSKI C J. Detection and location of connection splice events in fiber optics given noisy OTDR data. Part II. R1MSDE method[J]. IEEE Transactions on Instrumentation and Measurement, 2004, 53(2): 546-556.
[7] ZHANG X, ZHAO H, SUN G, et al. Localization of non-reflective events in OTDR data combining DWT with template matching[C]//IEEE. Proceeding of 2011 4th International Congress on Image and Signal Pro-cessing. Shanghai, China: IEEE, 2011, 4: 2275-2279.
[8] YONGMIN K, JINGHAO S, SUNG R H, et al. Analyzing OTDR measurement data using the kalman filter[J]. IEEE Transactions on Instru-mentation and Measurement, 2008, 57(5): 947-951.
[9] MUHAMMAD U, SAJID S M. Vector indexing algorithm for post pro-cessing of OTDR data[C]//IEEE. Proceeding of 2013 18th European Con-ference on and Optical Cabling and Infrastructure. Graz: IEEE, 2013: 257-262 .
[10] JEAN P, MARIO H S, JOAQUIM D G, et al. Adaptive filter for auto-matic identification of multiple faults in a noisy OTDR profile[J]. Journal of Lightwave Technology, 2016, 34(14): 3418-3424.
[13] MALLAT S, HWANG W L. Singularity detection and processing with wavelets[J]. IEEE Transactions on Information Theory, 1992, 38(2): 617-643.
[14] M CUI H M, ZHAO R M, HOU Y L. Improved threshold denoising method based on wavelet transform[J]. Physics Procedia, 2012, 33: 1354-1359.