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空间聚类分析MATLAB工具箱，包含文档和源代码；MATLAB学习，教程(Spatial clustering analysis the MATLAB toolbox contains documentation and source code MATLAB learning, tutorial)

讲解转子动力学相关知识，非常有助于学习转子动力学，对研究转子相关特性有较大帮助,还有自己编写的相关MATLAB程序(To explain the knowledge of rotor dynamics, is very helpful to learn rotor dynamics, to study the rotor-related characteristics of a greater help)

wbml地址转换，可以跳出围堵，地址跳转(wbml NAT can jump out of containment, address Jump)

Finite element code for solving eigen value problem.

MATLAB 2010a中的符号计算的入门与讲解(Entry and explain the symbolic computation in MATLAB 2010a)

2发2收的mimo系统通信仿真，希望对从事MIMO系统仿真的工作演员有所帮助。(2 Fat 2 collected MIMO system communication simulation, and they hope to engage in the work of MIMO system simulation actors help.)

表情图像的滤波处理,已经运行过能用，但是使用时，记得改一下路径。(biao qing picture de lv bo chu li,yi jing yu xing guo ,ke yi yong.bu guo ji de yao gai yi xia lu jing.)

本软件能实现复杂网络分析，功能强大,能计算复杂网路的度，簇系数，聚类和社区发现。(This tool can finish analysing complex networks, the function is complete.)

On MATLAB in communication system application

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.)