中文说明：主要为数据分析和统计，包括最小二乘法、SVM、神经网络、1_k近邻法,包含特征值与特征向量的提取、训练样本以及最后的识别，Pisarenko谐波分解算法,包括主成分分析、因子分析、贝叶斯分析，本程序的性能已经达到较高水平。
English Description：
Primarily for data analysis and statistics, including least squares, SVM and neural networks, 1_k nearest neighbor method, contains the eigenvalues and eigenvectors of extraction, and, finally, the recognition of training samples, Pisarenko harmonic decomposition algorithms include principal component analysis, factor analysis, Bayesian analysis, this program has reached a higher level of performance.