Common spatial pattern 公共空间模式滤波是处理脑电信号的一种方法，它可以使两类想象运动EEG的协方差之间的差距最大化，便于后期的分类处理。-Common spatial pattern model of public space filtering is a method of EEG signal processing, it can make two types of movement EEG covariance imagine the gap between the

巴特沃斯滤波器对脑电信号进行滤波，分别对低通、中通、高通滤波器进行设计，此文件是源码和脑电数据。-Butterworth filter for filtering EEG signals were low-pass, pass, high-pass filter design, this file is the source and EEG data.

本算法针对运动想象的脑电数据，进行预处理并后续用分类器做分类。 该实验所用的的脑电特征提取方法主要是csp空间滤波，并后续用FLDA来进行特征分类。最终得到较好的效果(In this algorithm, the EEG data of motion imagination are preprocessed and then classified by classifier. The main feature extraction method of EEG in this experime