Matlab7

mfsk数字调制的差错可能性比较，MATLAB实现(digital modulation mfsk possibility of errors, MATLAB to achieve)

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)

本代码是利用软投票法对图像进行分类，通过该方法，可以很好地对图像进行分类(This code is the use of soft voting method for image classification, by this method, can be a good image classification)

Matlab 上做的平面四方格子的Ising 模型(An Ising model of plane in Matlab2010b)

to generate number gumbel random (hidrology)

Energy Detection Simulation

几个解耦控制系统的Simulink模型，用过还行。共享一下。(Several decoupling control system Simulink model, used also OK. Sharing about.)

附件中是国外测速雷达系统仿真的matlab程序，其中对雷达系统的仿真讲的比较透彻。(Annex is abroad matlab speed radar system simulation program, in which the radar system, a thorough comparison of the simulation stresses.)

在语音信号处理中，特征的聚类用matlab来实现(in voice signal processing, feature clustering to achieve using Matlab)

详尽的PCA算法对TE过程的故障诊断分析，内含有部分故障数据，可供调试使用，对做故障诊断的非常有帮助。(PCA algorithm of detailed analysis of the fault diagnosis process of TE, contains some failure data, available to debug, is helpful for fault diagnosis.)