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基于小波变换的多焦视觉电生理信号去噪研究
引用本文:张思亮,张思杰,陈振华.基于小波变换的多焦视觉电生理信号去噪研究[J].计算机时代,2011(6):51-53.
作者姓名:张思亮  张思杰  陈振华
作者单位:1. 重庆市自来水公司,重庆,400013
2. 重庆大学通信工程学院
摘    要:多焦视觉电生理信号具有较强的随机性和背景噪声,且又属于非线性、非平稳的微弱信号,用Fourier变换来进行去噪处理其效果不是特别理想.小波变换(WT)具有优良的时间-频域分析和多分辨分析特性,可以用来处理非平稳随机信号,能获得更多的、具有诊断价值的信息,因此WT成为多焦视觉电生理信号的一种可行有效的去噪处理方法.文章基...

关 键 词:小波变换  多焦视觉电生理信号  多分辨分析  去噪

De-noising Research of Multifocal Visual Electrophysiological Signal Based on Wavelet Transform
ZHANG Si-liang,ZHANG Si-jie,CHEN Zhen-hua.De-noising Research of Multifocal Visual Electrophysiological Signal Based on Wavelet Transform[J].Computer Era,2011(6):51-53.
Authors:ZHANG Si-liang  ZHANG Si-jie  CHEN Zhen-hua
Affiliation:1.Chongqing Water Supply Company,Chongqing 400013,China;2.College of Communication Engineering,Chongqing University)
Abstract:MMultifocal visual electrophysiological signal has strong randomness and background noise,and it is nonlinear and non-stationary weak signal,the de-noising effect on it is not very well by using Fourier transform.Wavelet transform has excellent time-frequency domain analysis and multi-resolution analysis characteristics,it can be used to process unsteady random signals and can obtain more information with diagnostic value,so it becomes a feasible and effective de-noising method for multifocal visual electrophysiological signals.Based on the theoretical analysis of wavelet transform,we research its application in the de-noising of multifocal visual electrophysiological signal.The experiment illustrates that wavelet transform technique is very well in the de-noising of multifocal visual electrophysiological signals.
Keywords:wavelet transform  multifocal visual electrophysiological signal  multi-resolution analysis  de-noising
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