基于RLS算法的脑电信号的去噪  

RLS-based Algorithm for Denoise of EEG Signal

作　　者：陶青[1] 谢勤岚[1] 

机构地区：[1]中南民族大学电子信息工程学院,湖北武汉430074

出　　处：《现代电子技术》2006年第11期143-145,共3页Modern Electronics Technique

摘　　要：介绍了自适应的递归最小二乘方滤波器(RLS)和匹配滤波器,以及其去噪的处理方法。用C语言编写了递归最小二乘方滤波器,在噪声对真实信号影响不太大的情况下的通用滤波程序,并对实际提取到的EEG信号进行了RLS去噪处理和匹配滤波输出。通过Matlab 7软件绘出他的滤波输出、功率谱、匹配滤波输出图。通过观察各种输出图像,结果令人满意。In this paper, Recursive Least Square（RLS） adaptive filter, matching filter and corresponding denoising measurements are introduced. Based on RLS,general C programe can be performed for denoise on condition that useful signal is not seriously interferred by noise. After denoising for real EEG signal and matching filter,all the results of filter output, power spectrum and matching filter output diagram are described by Matlab 7. By comparision, the results are satisfctory.

关 键 词：RLS滤波器 匹配滤波器 EEG 噪声 

分 类 号：TN911.73[电子电信—通信与信息系统]