UNB

是最新MATLAB工程应用的代码，都是代码在里面，很值得鉴赏(Engineering applications is the latest MATLAB code is the code inside, it is worthy of appreciation )

调用smooth函数进行加噪数据的平滑处理(noise and smooth )

分段函数，进行采样，画出采样图，幅频图，频谱图(Piecewise function, sampling draw sample Figure Figure amplitude-frequency spectrogram)

shape model detection

经典的k均值聚类算法，用于无监督学习和数据分类，广泛应用于数据处理和模式识别领域(Classical k-means clustering algorithm for unsupervised learning and data classification, widely used in data processing and pattern recognition)

PUMA560A的仿真控制。很详细。非本人写的，但是写的很好(PUMA560A simulation control. Very detailed. Non-I write, but write the good)

读AVI文件的MATLAB程序 读AVI文件的MATLAB程序(Reading MATLAB procedures AVI files read AVI files MATLAB program)

Program author: Susan C. Hagness Department of Electrical and Computer Engineering University of Wisconsin-Madison 1415 Engineering Drive Madison, WI 53706-1691 608-265-5739

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.)

matlab编程初学者可以看看，有实例说明，对初学者会有一定的帮助。(matlab Programming for beginners can see, there are examples, for beginners will help.)