TDCS

matlab编程，包含了matlab编程使用方法与编程技巧，详细地介绍了matlab语言的使用和平时编程注意的要点。(matlab programming, matlab programming includes the use of methods and programming skills, detailed description of the matlab programming language to use and usually watch out for.)

一个有限长序列,用matlab实现其N=100的DFT。给出其幅度与相位曲线，并讨论其相关性质。 (A finite-length sequence, using matlab to achieve its N = 100 of the DFT. Given its magnitude and phase curves, and discuss their related properties.)

说明：  卡尔曼滤波源代码，含有噪声设置，特别适合初学者(Kalman filter source code, with noise, especially for beginners)

里面有四个程序，关于物理层网络编码编码和模拟网络编码ANC的matlab仿真代码(There are four procedures，Matlab simulation code on the physical layer network coding, coding and analog network coding ANC)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

图像的纹理提取，有一系列的matlab函数，可以取得很好的效果(Image texture extraction, has a series of matlab function, can be achieved very good results)

做过模糊PID的朋友很多遇到过这种问题，就是仿真启动不起来，停留在e-7等地方或者仿真很慢，自次上次有个朋友说改变步长能解决这个问题，最后的曲线能达到满足要求的时候，我让他找个例子他就没有后文，以前我做了很多这样的模糊PID，但靠改变步长并没有解决问题，仿真曲线直接发散出去了，我自己这两天也总在思考这个问题，通过不断的调试总结，明白了不少，给遇到这个问题的朋友讲解一下解决办法吧，以一个例子详解：(Done a lot of friends of the fuzzy PID encountered this problem, simulation start up, stay in the e-7 and other local or simulation is very slow, have a friend who said to change the step size to solve this problem since the times the last, the finalcurve to achieve to meet the requirements when I asked him to find examples of his later, I have done a lot of fuzzy PID, but by changing the step does not solve the problem, the simulation curve directly divergence out, Itwo days always thinking about this problem, summarized by the debug and understand a lot of friends to experience this problem to explain the solution, an example Detailed:)

多层感知神经网络对SI发动机逼近训练,对20000组真实数据进行训练，画出仿真图(trainning net for SI enine)

说明：  使用遗传算法(GA)来寻找函数F（x）的最大值(Using genetic algorithm to find the maximum value of function)

二值图像游程编码算法的Matlab实现,包含源程序代码以及运行结果。(Binary image run-length coding algorithm for the realization of Matlab, including source code, as well as the results.)