Adaptive-Filter-Theory-Simon-Haykin-(Matlab-codes

在MATLAB中，实现模糊控制的算法程序M文件。(In MATLAB to achieve fuzzy control algorithm procedure)

wavelet transform source codes

Sample program to study Location Determination Techniques using OTDOA

这是天津大学matlab讲义-赵国瑞 感觉讲得挺不错！(This is the Tianjin University matlab lecture- Zhao Guorui speak quite in a good feeling!)

这是一个基于matlab编程的RussiaBlock，可以很好的学到matlab的知识，又具有娱乐性(This is a well Matlab programming RussiaBlock, learn matlab' s knowledge, but also entertaining)

数字信号处理的基本理论与方法，有助于初学者更好的学习！(Digital signal processing of the basic theories and methods to help beginners learn better!)

finding the burst image for skew angle detection

ber for qam in communication system

qpsk信号瑞利信道的仿真程序还有搞死的有ber(qpsk signal Rayleigh channel simulation program has also Gaosi 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.)