小波变换在P-VEP信号提取中的消噪性能影响因素研究  

Research on influence factors of denoising performance in extracting P-VEP signal based on wavelet transform

作　　者：李浩君[1] 

机构地区：[1]浙江工业大学教育科学与技术学院,浙江杭州310032

出　　处：《浙江工业大学学报》2007年第6期654-657,共4页Journal of Zhejiang University of Technology

基　　金：浙江省自然科学基金资助(Y106470);浙江省科技厅资助项目(2006C31001)

摘　　要：在视觉电生理应用研究中,需要在强噪声背景下迅速准确地提取微弱的P-VEP信号,采用小波变换技术能有效地实现对P-VEP信号源消噪处理,但不同小波、不同的分解层次以及阈值选取规则等因素都能影响消噪效果.通过构造含EEG信号和噪声的P-VEP信号提取源,采用小波变换消噪方法,研究不同小波、不同分解层次以及阈值选取规则对P-VEP信号提取中的消噪性能影响.实验表明:采用Biorthgonal5.5小波、六层分解层次以及迭代阈值选取规则构成的小波消噪法在P-VEP信号提取中可以得到最优的消噪性能.Weak P-VEP signal is extracted rapidly and exactly from intense noise background in the application research of visual electrophysiology.Denoising processing of P-VEP signal source based on wavelet transformation technology could be achieved effectively.But the performance of denoising processing is affected by different factors such as different wavelet,different decomposing level and selecting rule of threshold.In this paper,the extracted P-VEP signal source composed of EEG,noise and P-VEP signals is constructed.Then the research focus on the influence factors of denoising performance by using different wavelet,different decomposing level and selecting rule of threshold is analyzed in detail.Experimental results show that the optimal denoising performance is achieved in extracting P-VEP signal based on wavelet denoising by adopting Biorthgonal5.5 wavelet,sixth decomposing level and recursive selecting rule of threshold.

关 键 词：小波变换 消噪 P-VEP 阈值 

分 类 号：TN911.7[电子电信—通信与信息系统]