基于小波变换的多焦视觉电生理信号去噪研究  

De-noising Research of Multifocal Visual Electrophysiological Signal Based on Wavelet Transform

作　　者：张思亮 张思杰[2] 陈振华[2] 

机构地区：[1]重庆市自来水公司,重庆400013 [2]重庆大学通信工程学院

出　　处：《计算机时代》2011年第6期51-53,共3页Computer Era

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。文章基于小波变换的理论分析,研究了它在多焦视觉电生理信号去噪处理中的应用。实验表明,在多焦视觉电生理信号的噪声去除上小波变换技术是很有效的。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.

关 键 词：小波变换 多焦视觉电生理信号 多分辨分析 去噪 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]