gaot

imlimentation hist matlab

《Matlab高级编程》由高级编程技术、程序编译、Matlab与外部程序接口和高洁界面主题等几个方面的内容组成，介绍一些非常实用的技术。(Matlab Advanced Programming by the advanced programming techniques, program compilers, Matlab external interface API and noble themes, and several other aspects of the composition, introducing some very practical technology.)

反馈控制系统设计与分析教程中所有例子的语言程序(Feedback control system design and analysis of all the tutorial examples of the language program)

人体检测，人体检测，人体检测，人体检测，人体检测，(humanbody detection)

这是一篇地震的数学理论方面的文章，希望能对大家有帮助(This is a mathematical theory of an article of the earthquake, I hope you can help)

这是关于vmd变分模态分解的matlab代码，主要应用于信号的分解，数据的处理等。(This is the matlab code for VMD variational mode decomposition, which is mainly applied to signal decomposition, data processing and so on.)

说明：  基于STC8951的直流稳压电源的设计程序，通过RS232串口将程序下载到51单片机上，通过控制按键来实现输出稳定直流电压的目的。(STC8951-based DC regulated power supply design program, a program downloaded through the RS232 serial port to the microcontroller 51, through the control buttons to achieve stable DC output voltage.)

matlab的两本些学习书籍，一本是和C混合变成，一本是图像处理(matlab learning of two more books, one is mixed into and C, an image processing)

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.)

MIMO ofdm 仿真 (MIMO ofdm )