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本文论述了图像压缩技术的发展和标准, 介绍了几种常用经典图像压缩方法和现代压缩的算法及应用情况, 有 机的结合现有的研究方法才能解决图像压缩的众多问题。(This article discusses the development of image compression technology and standards, the authors introduced some classic and modern compression image compression algorithm and application of organic methods combined with the existing image compression can be resolved many issues.)

蒙特卡洛方法 有趣的蒙提霍尔问题 求选中汽车的概率的模拟值向量(Monte Carlo method interesting Monty Hall problem seeking the analog value of the probability of the selected car vector)

aloha算法在matlab中的实现，有注释，能正确运行，适合写论文用。(aloha algorithm in matlab, there are notes that can run correctly, use appropriate writing papers)

该文件包含图像处理的常用的图像处理工具箱，较适合没有MATLAB基础的人员入门学习，该文件包含实例和常用函数的解释(This document contains commonly used image processing Image Processing Toolbox, MATLAB no more suitable for entry-based learning staff, the document contains examples and explanation of commonly used functions)

说明：  VB与MATLAB接口使用实例.保准一学就会。(VB and MATLAB interface examples.保准One school will be.)

PSAT包含了：PF-潮流计算；CPF-连续潮流；OPF-最优潮流；SSSA-小扰动分析；TDS-时域仿真；GUI-用户人机界面；GNE-自定义模型等功能。该工具包已经可以计算上千节点规模的系统。而且该软件包源代码完全公开，因此用户可以根据自己的研究兴趣编写修改相应源代码实现研究目的。(PSAT includes: PF-flow calculation CPF-continuous fashion OPF-OPF SSSA-small perturbation analysis TDS-time domain simulation GUI-user machine interface GNE-custom models and other functions. The kit can have thousands of computing nodes scale systems. And the package source code is completely open, so that the user can modify the source code to write research purposes according to their research interests.)

说明：  轨道交通牵引供电的一个初步模型，给分析暂态一个很好的方向。(A preliminary model of traction power supply for rail transit provides a good direction for transient analysis.)

PCA可以用于图像处理的盲检测，可以得到较好的效果(PCA can be used for image processing, blind detection, better results can be obtained)

基于matlab的人脸识别程序，内附说明，很详细(Matlab-based face recognition process, containing a description, in detail)

转弯模型的IMM程序，包括3个模型，CV和CT模型，并通过kalman滤波进行定位跟踪(Turn model the IMM program m file, including the three models, CV and CT model and positioning tracking kalman filtering)