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hht和emd源代码，可以直接出图像，MATLAB开发环境(hht and emd source code, the image can be directly)

MSK的simulink仿真程序 用于毕业设计与论文以及做课题用(MSK Simulink simulation program for the design and graduation thesis topic, and making use)

GM11适应范围.PDF文件；非常实用的GM11模型Matlab程序。C语言基础即可明白，无需多言(GM11 adaptation range. PDF file very useful GM11 model Matlab procedures. C programming language to understand, no need to say)

说明：  This code is related to the course Digital Communications. It makes a simple communication system which uses AWGN and QPSK

利用遗传算法（实数编码）实现一阶滞后模型的PID参数寻优自整定，可以在工程中使用！！(Using genetic algorithms (real coding) to achieve the first-order lag model of PID parameter optimization auto-tuning can be used in the project!)

用matlab进行二级倒立摆摆仿真，进行极点配置 (Two inverted Swing simulation using matlab and pole placement)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

一个使用MATLAB程序搭建的buck电路模型(A buck circuit model built with MATLAB program)

这些例子只要直接调入matlab就可以应用，简洁方便。适合初学者(meaningful)

shunt active filter for harmonic elimination.