gmcalab 快速广义的形态分量分析，包含特征值与特征向量的提取、训练样本以及最后的识别，数值分析的EULER法。- gmcalab fast generalized form component analysis, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, EULER numerical analysis method.

关于非线性离散系统辨识，小波包分析提取振动信号中的特征频率，有小波分析的盲信号处理。- Nonlinear discrete system identification, Wavelet packet analysis to extract vibration signal characteristic frequency, There Wavelet Analysis Blind Signal Processing.

利用贝叶斯原理估计混合logit模型的参数，仿真效果非常好，包含特征值与特征向量的提取、训练样本以及最后的识别。- Bayesian parameter estimation principle mixed logit model, Simulation of the effect is very good, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recogni

提取混合信号中的不同特征信息，从而实现不同特征信息的提取(Extract the different characteristics of the mixed signal information, so as to achieve the extraction of different feature information)