采用PCA算法实现目标跟踪，内包含自适应模板更新，以及kalman滤波，希望可以帮助大家

用神经网络，实现手写数字0-9的识别，对于相似度小的拒绝识别(Using neural networks, implementation figure 0-9 handwriting recognition, the similarity of small refuse recognition)

附件代码为正交匹配追踪的源程序，用matlab编写，程序简单实用。(Annex code orthogonal matching pursuit of the source, written with matlab, the program is simple and practical.)

基于MATLAB的动态随机一般均衡模型的代码。(The code of the dynamic stochastic general equilibrium model based on MATLAB.)

LOG spectral distance which is used in mmse

进行T分布检验，专门用于极值分析，如果有极值分析的需要可以进一步联系我！(T distribution for testing, specifically for the extreme value analysis, if there are extreme needs analysis can further contact me!)

Matlab Financial Derivatives Toolbox Users Guide һ

跨平台开发时，可以在任意系统使用统一的tchar 函数。(Cross-platform development, you can use a unified tchar function in any system.)

基本PV模型，需改进 根据T，G,V可输出I-U,U-P曲线(basic PV ，improvemention is needed)

pcb检测(pcb detect)

说明：  人脸识别的界面代码，代码对PCA和GUI进行了详细的说明(Face recognition code has a good explanation and explanation for PCA and GUI)