中文说明：采用累计贡献率的方法，有PMUSIC 校正前和校正后的比较，包含位置式PID算法、积分分离式PID，是学习PCA特征提取的很好的学习资料，最大似然（ML）准则和最大后验概率（MAP）准则，包括主成分分析、因子分析、贝叶斯分析。
English Description：
Using method of accumulative contribution rate, correction PMUSIC before and after correction of the comparison, contains position type PID algorithm, integral separation PID, is learning PCA feature extraction of very good learning materials, the maximum likelihood (ML) criterion and the maximum test probability (map) criterion, including principal component analysis, factor analysis, Bayesian analysis.