zzkmatla

两篇关于运动模糊参数估计和复原的文章，非常经典的文章，基本概括了参数估计的主流方法，(two paper about restore Motion blur,which is very comprehensive )

It is a SM johnson filter that is using filter designing concept

函数Jf用来求所付代价的增加值，只要在matlab中输入Jf=Jf(a)得到的结果就是J了，其中a的值为对应的 值； 函数Rf用来求所收益增加值，只要在matlab中输入Rf=Rf(a)得到的结果就是R了，其中a的值为对应的 值； 如果要修改表格的值的话，就对应的修改函数Jf和Rf中的数组y的值就好了，M的值和N的值以及r的值都可以修改的。 (The function Jf used to ask to pay the increase in value of the consideration, in matlab enter Jf = Jf (a) the results obtained is J, where the value corresponds to the value of a The function Rf be used to seek the revenue increase in the value of input in matlab Rf = Rf (a) the results obtained is R, where a is the value corresponding to the value of If you want to modify the values ​ ​ of the table, then, the corresponding modified function Jf and Rf value of y in the array like, the values ​ ​ of M and N values, and the value of r can be modified.)

说明：  collor hist

这个包包含以下文件和目录: 1)设置。m:执行该文件设置了正确的路径运行任何代码之前。 2)编译墨西哥人。m:编译所有的墨西哥人文件需要由不同的分割方法。 3)数据:目录图片和储蓄和segmentations笔触。 4)包装:这个目录包含不同的包来实现所有的算法。 5)ui:这个目录包含代码的用户界面。 ( This package contains the following files and directories: 1) setup.m: Execute this file to setup up paths properly before running any code. 2) compile_mex.m: Compiles all the mex files needed by different segmentation methods. 3) data: Directory for images and saving brush strokes and segmentations. 4) packages: This directory contains different packages for implementing all the algorithms. 5) ui: This directory contains code for the user interface.)

采用模态叠加法和Newmark方法求解悬臂梁的响应，可以直接运行，经验证程序正确(Modal superposition method and Newmark method for solving cantilever response, and can directly run the program properly validated)

matlab7.0书中的实例程序的源代码，用matlab 编写的，支持matlab7.0(Examples of procedures matlab7.0 the book s source code, using matlab prepared to support matlab7.0)

说明：  车牌识别的MATLAB程序 含多个M文件及图片 运行有图片演示(License plate recognition program MATLAB language)

人脸检测程序，只能针对单人，内附一些图片(Face detection process, only for a single person, enclosing some pictures)

使用非线性支撑矢量机对一组数据进行分类。画出分界面(The use of non-linear support vector machine classification on a set of data. To draw the interface)