基于峭度的快速独立分量分析的程序，内含三个源信号-Based on kurtosis fast independent component analysis program, containing three source signal

对三路信号进行分离，基于峭度和基于负熵的独立分量分析（ICA）-The three way signal separation, based on the kurtosis and independent component analysis (ICA) based on negative entropy

基于最小二乘支持向量机的模式识别，特征向量为滚动轴承的能量百分比和峭度系数-Pattern recognition based on least squares support vector machine (SVM), the percentage of energy eigenvector for rolling bearing and kurtosis coefficient