threelegs

利用mathlab仿真雷达脉冲压缩测距原理。对两个雷达回波信号进行脉冲压缩实现可分辨。(Using mathlab simulation principle of pulse compression radar ranging. The two implementing pulse compression radar echo signals can distinguish. )

计算均值以及均方值，很不错的代码，希望对大家的学习有所帮助。(Compute the Mean and Square)

说明：  不同的K近邻分类算法，基于matlab开发，不错。(matlab knn classification)

本算法是乘子法MATLAB的通用程序，只要输入相应的参数即可运行(This algorithm is a the multiplier method MATLAB common procedures as long as the input parameters to run)

说明：  un ejemplo de contar caracteres en leng ensambalador

这个文件是关于matlab曲线拟合的资料，对学习matlab曲线拟合非常有用(This document is about matlab curve fitting information, to learn matlab curve fitting is useful)

面向matlab工具箱的神经网络理论与应用(Neural Network Theory and Applicationgs with MATLAB toolboxes)

Learning Belendr persian language

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.)

kriging interpolation in matlab