Code

自动控制理论中校正部分MATLAB仿真介绍(Automatic correction of part of the MATLAB simulation of the theory introduced)

说明：   对系统单变量进行卡尔曼滤波(Single variable on the Kalman filter system)

分形的mandelbrot和cantor，koch图形，使用matlab编写。(the Mandelbrot fractal and Cantor, koch graphics, the use of Matlab prepared.)

Ant Colony Algorithm for solving Job shop scheduling problem.

《MATLAB小波分析（第2版）》张德丰源代码下载(" MATLAB Wavelet Analysis (2nd Edition)" Zhang Defeng Source Codes)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

声音处理的MATLAB程序：LPCCONV((from,to,x,y)->s convert between LPC parameter sets )

采用Matlab实现16QAM的调制与解调，要求画出星座图。(Matlab realize 16QAM modulation and demodulation, and asked to draw a constellation diagram.)

说明：  applications of rough sets

MATLAB中deploytool的一个demo。写了一个简单的GUI，然后新建deploytool工程，编译，运行成功。需要你的计算机上有MCRInstall(a demo for matlab deploytool.A GUI program is given which have been compilered into exe.You need MCR.)