ackley

先进的PID控制，PDF的电子书加源码，可以对学习PID的朋友有所帮助(Advanced PID control, PDF e-book plus source code, can help a friend learn PID)

说明：  模拟退火MATLAB程序。。。。。。。。。。。。。。。。。。。。。。。。。。(MATLAB simulated annealing process. . . . . . . . . . . . . . . . . . . . . . . . . .)

FuzzyToolV32 matlab software

说明：  一个声纹识别的全代码matlab(需要录音)(A full code matlab for voiceprint recognition (recording required))

利用rt实现快速动目标检测参考程序，使用DPCA实现杂波抑制(Implementation of reference program for fast moving target detection by RT)

利用三阶矩求双谱,直接输入信号，即可求出(calculate bispectrum using 3rd order cumulant)

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)

this was my homework in the lesson "digital image processing" it is my own average and median filters function without useing the matlab s original functions . it can help your learning about filters. i uploaded whole the material but you can find it completely in "ö dev2.docx" my whole homework.

DWT音频水印嵌入算法，DWT音频水印嵌入算法，DWT音频水印嵌入算法(The DWT audio watermark embedding algorithm, DWT audio watermarking algorithm, DWT audio watermark embedding algorithm)

说明：  tempalte matchin progrma used