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matlab gui, 包括了4个很好的例子： 1.具有多个坐标轴的GUI，主要学习控制哪一个坐标轴是绘图命令的对象和用编辑文本框读入输入的数。 2.列表框目录阅读器，主要学习获取路径，加载，打开文件 3.从列表框中存取工作区变量，学习把存在于基本工作区的变量名放进列表框，选择多项等 4.地址簿阅读器，这个比较综合，用得技术也比较多。包括打开，保存，修改mat文件，利用handles结构保存和重新调用共享数据。(matlab gui, including four very good example: 1. with multiple axes of GUI, the main learning control which axis is the object of drawing commands and edit the text boxes with the number of read input. 2. The list box directory reader, the main study to obtain the path, load, open the file 3. From the variable list box to access the work area, learning the basic work area exists in the variable names into the list box, select a number of other 4 . address book readers, the more integrated, more technology used. Including open, save, modify mat file, save and re-use handles structure called shared data.)

形成电力系统的裕度表，很经典的一个程序，经过多次测试都有很好的效果(The formation of the power system outage table)

计算无线衰落信道平均时延扩展和均方根时延扩展(delay spread and square delay spread calculation code)

matlab cstr implmentation using state estimation

Simulink通信系统建模一书中的IS95前向链路系统仿真MATLAB源程序，包括word文档介绍，是非常好的通信系统仿真的学习参考资料(The book Communication Systems Simulink model of IS95 system simulation prior to the MATLAB source code link, including the word document describes, is a very good communication system simulation study reference)

用matlab对照片进行频域变换，并进行简要分析比较DCT、DFT、WH等方式重构的图像与原始图像之间的差别，并写出报告(use matlab to perform the frequence transform and use DCT/DFT/WH to rebuild the picture, analysis the difference and report)

主要应用Matlab来实现图像的盲源分离而且是三个图像的处理问题采用的方法是FastICA算法(The main application of Matlab to achieve blind source separation method for processing an image problem and is three images FastICA algorithm is used)

本源码用MATLAB语言实现了自适应RLS算法，并附有FFT分析(rls fft)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

可以模拟双车道换道,可以得到速度、换道数等微观交通流参数( it can simulate two-lane lane)