FUZZYPID

五维正向云发生器的matlab编码~~~~(Five-dimensional forward cloud generator)

本段程序实在MATLAB环境下对输入的语音序列x进行MFCC参数的提取，返回MFCC参数和一阶差分MFCC参数。(Voice input sequence x extracted MFCC parameters, return parameters and the first-order difference MFCC MFCC parameters)

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)

中值滤波算法去除椒盐噪声，小生亲自编写的(voice pepper removal algorithm was removed during the wave)

color image enhancements

Region growing from a specified point using MATLAB.

to test input and output for both.

关于自适应滤波的算法仿真，其中应用了LMS算法和RLS算法，也比较了他们的性能(Adaptive filtering algorithms on the simulation, which applied the LMS algorithm and RLS algorithm, also compare the performance of their)

16QAM的调制解调，基带星座图，调制解调之后星座图及比较(16QAM modem, baseband constellation map, after the modem constellation diagram and compare)

用MATLAB中的FFt算法及AR模型来研究RR间期(The FFt with MATLAB algorithms and AR model to study the RR interval)