PSOfirst

The ESPRIT method for frequency estimation.

这个是几个目标跟踪程序，有EKF、UKF和MVEKF，还有对他们的跟踪效果比较的程序。(This is the number of target tracking procedures, EKF, UKF and MVEKF, as well as the effect on their comparative tracking program.)

函数HistBackground功能是将高速公路的视频文件中的多帧图片利用统计直方图的方法提取不含运动车辆的背景，(Function HistBackground function is to freeway video files of images using statistical histogram to extract the background without moving vehicles,)

用bp网络 实现神经网络学习算法 可以在matlab直接运行 其中有些参数可以自由根据情况改动(bp)

经验模态分解，集合经验模态分解，希尔伯特分解，MATLAB 工具包(Empirical mode decomposition,EEMD, Hilbert decomposition, MATLAB Toolkit)

能够跟踪视频中简单背景下的移动物体。 Matlab运行后有相应界面，先选择视频，然后按“跟踪”键开始处理。(This is able to track moving objects with a simple background. After running the corresponding Matlab interface, the video, then press the track button to begin processing.)

基于多种经典参数估计算法的窄带信号源DOA估计(for narrowband signals DOA estimation Based on a variety of classic algorithms )

用matlab程序模拟凤凰传奇《最炫民族风》的代码(song played by matlab)

BER_QPSK QPSK MODULATION ANALYZE IN BER

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.)