particle-filter-for-tracking

说明：  二相相移键控（BPSK）是用二进制基带信号（0、1）对载波进行二相调制。BPSK是最简单的PSK形式，相移大小为 180°，又可称为2-PSK。在群点聚集的地方，其实都不是非常有关系，在该图像中，群点分布在水平轴上的0°和180°上。由于BPSK使用严重的失真致使解调器作出错误的判断，所以该调制方式是所有PSK中最强的。但它只能以1bit/symbol调制而不适合高数据率应用情况。 (bpsk modulation)

实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。(The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.)

MATLAB MLP Backprop Code

利用矩阵乘法解决的经典例题 或许对您的编程思维受益匪浅(Using matrix multiplication to solve the classic example of thinking may benefit your program)

在matlab的GUI界面中实现tab标签的切换功能(Implemented in the matlab interface features tab label.)

matlab code for face recognition

本MATLAB程序是基于离散粒子群算法的可中断负荷的优化计算(The MATLAB program is a discrete particle swarm optimization algorithm based on interruptible load calculation)

用经典算法解决旅行商问题，得出城市间的最短路径，此为经典算法。(With the classical algorithm to solve traveling salesman problem, obtained the shortest path between cities, this is the classical algorithm.)

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.)

线性二次最优控制加权阵遗传算法优化适应度函数m文件；模糊控制器量化比例因子遗传算法优化适应度函数m文件(Linear quadratic optimal control weighted array genetic algorithm fitness function m documents quantization scale factor of fuzzy controller optimized by GA fitness function m file)