中文说明： 是机器学习的例程，用于信号特征提取、信号消噪，用于建立主成分分析模型，最大似然（ML）准则和最大后验概率（MAP）准则，采用偏最小二乘法，算法优化非常好，几乎没有循环。
English Description：
Routines of machine learning for signal feature extraction, signal denoising, for the establishment of principal component analysis model, the maximum likelihood (ML) criterion and the maximum a posteriori (map) criterion, using partial least squares method, very good algorithm, almost no circulation.