一种流形学习算法（很好用），ICA（主分量分析）算法和程序，用于信号特征提取、信号消噪，基于欧几里得距离的聚类分析，FIR 底通和带通滤波器和IIR 底通和带通滤波器，有借鉴意义哦，是学习PCA特征提取的很好的学习资料，基于负熵最大的独立分量分析。-A fluid manifold learning algorithm (good use), ICA (Principal Component Analysis) algorithm and procedures, For feature extraction, signal de-noising, Clustering analysis based on Euclidean distance, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, There are reference Oh, Is a good learning materials to learn PCA feature extraction, Based on negative entropy largest independent component analysis.