中文说明：
部分实现了追踪测速迭代松弛算法，matlab开发工具箱中的支持向量机，主要是基于mtlab的程序，通过反复训练模板能有较高的识别率，利用贝叶斯原理估计混合logit模型的参数，BP神经网络用于函数拟合与模式识别，FIR 底通和带通滤波器和IIR 底通和带通滤波器。
English Description：
The support vector machine in matlab development toolbox is mainly based on the program of MTLAB. Through repeated training of the template, it can have higher recognition rate. Bayesian principle is used to estimate the parameters of mixed logit model. BP neural network is used for function fitting and pattern recognition, fir bottom-pass and band-pass filter and IIR bottom-pass and band-pass filter.