小波变换与自适应滤波在脑电信号消噪中的应用

Application of Wavelet Transform and Adaptive Filtering to EEG Signal Denoising

提出了基于AR(自回归)模型的小波变换与LMS(最小均方)自适应滤波相结合的脑电信号分析方法,并利用它来消除脑电信号中的噪声干扰。实验结果表明,利用小波变换与自适应滤波相结合能有效去除脑电信号中的噪声干扰。

This article focuses on the method of noise cancellation for EEG signal based on the Autoregressive Model（ ARM）, wavelet transform （WT） and LMS Adaptive Filtering（AF）. The experiment results show that the method based on WT and AF can process noise in the EEG signal effectively.