首页> 中文期刊> 《计量学报》 >邻域比较数字滤波与小波变换在脑电信号消噪中的应用

邻域比较数字滤波与小波变换在脑电信号消噪中的应用

         

摘要

An EEC de-noising method which combines neighborhood comparison and wavelet transform is described and it was used to de-noising the EEC signals which contains pulse jamming. First, the algorithm of neighborhood comparison filtering and the de-noising principle of wavelet transform was introduced. Then 10 EEG signals was processed by the de-noising method. Finally, the de-noising effects and wavelet transform de-noising effects were compared. Experimental results show that both signal noise ratio and root mean square error, combining de-noising effects of the two methods were superior to the de-noising effects of wavelet transform.%提出了邻域比较与小波变换相结合的脑电信号消噪方法,并利用这种方法对含有脉冲噪声的脑电信号进行消噪.首先介绍了邻域比较滤波的算法和小波变换消噪的原理,然后对实测的10例脑电信号进行消噪处理,最后将两种方法相结合的消噪效果与小波变换的消噪效果进行对比.实验结果表明,无论是信噪比还是均方根误差,两种方法相结合的消噪效果均优于小波变换的消噪效果.

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