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说明：  采用栅格对机器人的工作空间进行划分，再利用优化算法对机器人路径优化，是采用智能算法求最优路径的一个经典问题。目前，采用蚁群算法在栅格地图上进行路径优化取得比较好的效果，而利用遗传算法在栅格地图上进行路径优化在算法显得更加难以实现。 利用遗传算法处理栅格地图的机器人路径规划的难点主要包括：1保证路径不间断，2保证路径不穿过障碍。 用遗传算法解决优化问题时的步骤是固定的，就是种群初始化，选择，交叉，变异，适应度计算这样，那么下面我就说一下遗传算法求栅格地图中机器人路径规划在每个步骤的问题、难点以及解决办法。(It is a classical problem to divide the workspace of the robot by grids and optimize the path of the robot by using optimization algorithm. At present, the ant colony algorithm is used to optimize the path on the grid map, and the genetic algorithm is used to optimize the path on the grid map, which is more difficult to achieve. The difficulties of using genetic algorithm to deal with the path planning of robot on raster map mainly include: 1. guaranteeing that the path is uninterrupted, 2. guaranteeing that the path does not cross obstacles. The steps of genetic algorithm in solving optimization problems are fixed, that is, population initialization, selection, crossover, mutation, fitness calculation. Then I will talk about the problems, difficulties and solutions of genetic algorithm in each step of robot path planning in raster map.)

利用散度法计算垂直速度，主要是缺测值的处理(Calculated using the vertical velocity dispersion, mainly dealing with missing data values)

卡尔曼的程序，里面有个基础的卡尔曼程序还有一个图像跟踪的卡尔曼程序。(Kalman s procedure, which has a basic program and a picture of Kalman Kalman tracking procedures.)

用MATLAB实现OFDM系统加循环前缀后的实现方法(OFDM Systems with MATLAB add cyclic prefix to achieve after the Implementation)

苏金明《Matlab工具箱应用》.pdf,苏金明《Matlab工具箱应用》.pdf(Su-Jin " Matlab Toolbox application" . Pdf, Su-Jin " Matlab Toolbox application" . Pdf)

Planned Scheduling for Economic Power Sharing in a CHP-Based Micro-Grid

MATLAB R2008图形与动画实例教程源程序(MATLAB R2008 graphics and animation tutorial source code examples)

Huffman and Shannon-Fano source coding

说明：  交叉相关 图像处理 matlab程序 2D图像(Cross-correlation image processing matlab)

matlab语言开发的国际象棋游戏，功能强大。(matlab language development of the international chess game, and powerful.)