A UDWT Technique to Improve the Optical Signal Denoising Effect

Ling Hong Yu; Chun Mei Jia; Guan Gen Hou

doi:10.4028/www.scientific.net/AMM.411-414.1139

Paper Titles

Chaotic Characteristics of Heart Sound Signals Based on the Largest Lyapunov Exponent
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An Improved ICA Algorithm Based on the Negative Entropy and Simulated Annealing Algorithm
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ARIMA Models are Clicks Away
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An Approach for Predicting Clinical EEG Signal Based on SVM
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A UDWT Technique to Improve the Optical Signal Denoising Effect
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Adaptive Radio Frequency (RF) Identification Based on Frequency Domain Analysis for Open Non-Gaussian Background Environment
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Facial Expression Recognition Based on PSO Optimization
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RL Algorithm for Passive Millimeter Wave Imaging Based on BM3D
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An Improved Touching-Cell Splitting Algorithm Based on Bottleneck Detection
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414A UDWT Technique to Improve the Optical Signal...

A UDWT Technique to Improve the Optical Signal Denoising Effect

Abstract:

Fiber signal denoising technology is one of the key technologies the OTDR or distributed fiber optic sensors, fiber optic equipment. Actual project application, proposed an improved undecimated discrete wavelet transform (UDWT) denoising technology, relative to traditional wavelet transform denoising technology, has the following characteristics: Denoised curve is more smooth; Better peak detection capability; Better small attenuation maintain capability; Better denoising capability. This technology has achieved very good results in OTDR equipment, beside it can be applied to other optical signal processing.