包含特征值与特征向量的提取、训练样本以及最后的识别，包括最小二乘法、SVM、神经网络、1_k近邻法,验证可用，是学习PCA特征提取的很好的学习资料，针对EMD方法的不足,计算加权加速度,给出接收信号眼图及系统仿真误码率。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Verification is available, Is a good learning materials to learn PCA feature extraction, For lack of EMD, Weighted acceleration, The received signal is given eye and BER simulation systems.