rayleighfading

this describes how we can use Matlab for Human detection in a Video.

椭圆滤波器的设计与计算，能根据设计者的要求计算出滤波器的阶数(Elliptic filter design and calculation, according to the requirements of the designer to calculate the order of filter)

implementing the edge linking technique

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

C语言与MATLAB接口,将MATLAB写的仿真程序很方便地引入到自己的C语言应用程序之中.(MATLAB and C language interface MATLAB simulation program written in a very convenient way to introduce themselves to the C language application procedures.)

模糊控制自整定PID,simulink环境下的算法仿真。(Fuzzy control self-tuning PID, simulink environment simulation algorithm.)

CurveLab-2.1.2， 非均匀采样傅里叶变换，Curvelab 采样变换等(signal processing by nonuniform random sampling, FFT)

用简单的遗传算法解决基本的车辆调度问题，新手很容易上手。(vrp ga )

说明：  matlab绘制三维地形图，包含数据和程序，是2011建模题(sfhjrt rtrthrth)

说明：  这是差分算法的简单实现，里面的代码比较全，可以参考。(This is a simple implementation of a differential algorithm, which the code is complete, you can reference.)