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matlab 单高斯背景模型 读取本地视频（avi)文件，并实时显示前景图像，运行速度可以达到5帧每秒(matlab single Gaussian background model)

在matlab-simulink里搭建的一个三项线路故障模型，可用于故障测距，定位(A three fault lines in matlab-simulink model built in, can be used for fault location, location)

关于图形 处理的程序，里面有图像和源程序文件，用matlab语言进行实现。(On the graphics processing procedures, there are images and the source file, with the realization of matlab language.)

基于MATLAB中的对于风电场模型的仿真(Based on MATLAB in the simulation model for wind farms)

使用MATLAB对离散信号进行运算，包括相加，位移，相乘以及变换等。(The use of MATLAB for computing discrete signals, including the add, shift, multiply and transform.)

说明：  该程序是music算法的一个示例，通过该算法实现了测向功能(The music program is an example of the algorithm, through which the function of the measuring algorithm)

It should be noted that there is still room to improve the speed and the memory usage of the algorithms, using for instance displacement structure algorithms for the RQ decomposition and Lanczos algorithms for the SVD.

说明：  用栅格模型表示工作环境,确定机器人运动起始结点和目标结点后,对工作环境进行分析,选取起始点与目标点之间连线附近的若干栅格,以被选取栅格为关键点,采用蚁群算法分别计算关键点与起始点和目标节点之间的最短路径,求取全局最短路径(With grid model to represent the working environment, robot motion after initial nodes and target, analysis of working conditions, selecting starting point and the target point near the connection between a number of grid, grid for the key points to be selected, key point and the starting point is obtained by using the ant colony algorithm respectively and the shortest path between the target node, calculate the global shortest path)

The file generate kasammi codes

摄像机的标定、角点的提取、三维空间的重建、最后生成矫正后无畸变的图形(Camera Calibration，This section takes you through a complete calibration example based on a total of 20 (and 25) images of a planar checkerboard. This example lets you learn how to use all the features of the toolbox: loading calibration images, extracting image corners, running the main calibration engine, displaying the results, controlling accuracies, adding and suppressing images, undistorting images, exporting calibration data to different formats... This example is highly recommended for someone who is just starting using the toolbox. )