Denoising Method of Optical Fiber Communication Signal Based on Wavelet Transform
Aiming at the common noise problem in optical fiber communication,this paper studies an optimized wavelet transform denoising strategy.Firstly,the basic process of optical communication and noise sources are analyzed.Secondly,the basic principle of wavelet transform and signal denoising process are introduced,including key steps such as wavelet decomposition,threshold processing and signal reconstruction.Finally,an adaptive threshold selection method based on statistics is introduced to improve the accuracy and efficiency of denoising.The experimental results on MATLAB platform show that this method can significantly improve the Signal-to-Noise Ratio(SNR)and reduce the Mean Squared Error(MSE),which is practical and effective.
NETL
NSTL
万方数据
