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Matlab小问题 问: Matlab仿真中怎样编辑Scope中的图象??? 答: 实现的方法有以下的几种: 1）PrintScreen，然后粘贴到Windows位图编辑器，选择图像点击右键，选择“反色”即可； 2）在Scope中，它的参数设置的第二页，有一个Save Data to Workplace，将它选中，然后在下面的方框 中指定变量名，然后用plot命令画出； 3）直接在模型上再加一个，to Workplace模块，也用plot画出； 4) 等scope显示出来图像以后，在matlab上运行 set(0, ShowHiddenHandles , On ) set(gcf, menubar , figure ) 这时候你会发现scope的工具栏的上面多了一行，点击insert-axes，鼠标会变成十字形状，然后再图像的任意一处双击左键出现一个对话框PropertyEditor，选中style在窗口的右便会出现color，这时你就可以任意修改背景颜色了。 问: 怎样进行S-function的编程和使用??? 答: S-function也就是System-function的缩写。说得简单，S-function就是用MATLAB所提供的模型不能完全满足用户，而提供给用户自己编写程序来满足自己要求模型的接口。要了(err)

MATLAB与串口的连接的GUI和M文件，很适用的。参照这个设计思路，可以跟句自己的需要进行修改和完善！(MATLAB GUI with the serial connection and M files, it is applicable. Reference to the design ideas, with the sentences to their own needs can be modified and improved!)

FDTD matlab 程序 时域差分法 有界 (FDTD matlab program bounded difference time domain method)

matlab仿真通过的降噪程序，提供c语言实现的各种降噪算法。还包括对椒盐噪声有很好抑制作用的一组新算法。(matlab simulation of the noise reduction process through the provision of a variety of c language to achieve noise reduction algorithm. Also includes a very good inhibition of salt and pepper noise of a new algorithm.)

程序是基于贝叶斯最小错误率的分类器的设计，真确率达到98 ，学习模式识别的很好的程序(Program is based on the Bayes minimum error rate classifier design, true rate of 98 , a good learning pattern recognition program)

智能算法中的遗传算法实现最优化的文件，对原始的算法有所改进(Intelligent algorithm genetic algorithm to optimize the file to the original algorithm improvements)

该源码在matlab平台上运行,实现的功能是利用hough变换检测图像中具有一定长度的直线,并将直线从整个图像中提取出来.不仅如此,还可以通过计算分析求出对应直线的斜率.(The source platform to run in matlab, the function is to realize the use of hough transform detection image has a certain length of a straight line, and a straight line from the entire image extracted. Not only that, but can also be obtained by calculating the analysis corresponds to the slope of a straight line.)

说明：  原创_levinson_dubin递推算法，现代谱估计的一种算法(Original _levinson_dubin recursive algorithm, Modern Spectral Estimation Algorithm)

implementation of sliding mode control

应用matlab对负责数学模型分析求解方法解析(Application the matlab responsible mathematical model analysis method for solving resolution)