lecture2_AS310_JAN2009

cancorr的matlabb程序。用于信号的典型相关分析。 (cancorr matlabb program. Canonical correlation analysis for signal.)

matlab很好的学习教材，学习资料，可以学到很多东西(Matlab is very good learning materials, learning material, can learn a lot of things)

最小二次支持向量机的matlab工具箱_LS_SVM,请试用(Minimum secondary support vector machine matlab toolbox _LS_SVM, please try)

5 Slantlet转换-电气& Comp Slantlet(5The Slantlet transform- Department of Electrical & Comp slantlet)

Maximum Likelihood (ML) equalizer for STBC systems

Code for HOW TO FIND IN A EASSY WAY THE MAXIM AND MINIM WIDTH IN A SIGNAL OSCILLATING FUNCTION

matlab控制算法 模糊PID,有PIDmodel(matlab controll )

这是一个matlab图像变换程序包，包括傅里叶变换、离散余弦变换、Radon变换等(This is an image transform matlab package, including Fourier transform, discrete cosine transform, Radon transform)

二维ESPRIT算法的一种实现（需预先生成导向矢量）(An implementation of 2D ESPRIT algorithm, which is used for DoA estimation.)

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.)