Taflove_Computetional_Electromagnetics_FDTD

LMS算法去除加噪声音乐程序，效果比较好，有图为证。(LMS algorithm to remove noise adding music program, the effect is better, has a license to the graph. )

实现双三次插值图像缩放算法，修改k值，即可修改放大倍数或缩小倍数！(To achieve bi-cubic interpolation algorithm for image scaling, modified k values can be modified to enlarge or shrink the multiples of multiples!)

《Simulink电子通信仿真与应用》，通信专业的好书，详细介绍在MATLAB的SIMULINK环境下如何进行建模仿真(Simulink simulation and application of electronic communications, communications professional books, detailing the circumstances in MATLAB-SIMULINK model and simulate how)

it s Seimulated annealing for VRP with capacity constraint

UNIX网络编程第2卷 进程间通信。学习Linux很好的书籍(UNIX Network Programming Volume 2 Interprocess communication. Good books to learn Linux)

matlab program to find prime numbers

LMS算法和RLS算法实现阵列信号的波束形成的程序用matlab实现的代码，里面有也有解释说明(LMS and RLS progranm Matlab code.)

可以对工程上测得的信号进行求奇异普熵，提取特征向量(Seeking singular Pu entropy, extracting a feature vector can be the signal measured in the engineering)

复杂网络的matlab程序，包括bnet，nn net和nw net共8个.m文件组成。(compclex network)

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.)