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MATLAB7.0实用教程 张圣勒编著(MATLAB7.0 Practical Tutorial Zhang Shengle ed)

limziv algortithm for source coding

G-Rilling的emd工具箱,很好的完成hht中的黄变换。(G-Rilling s emd toolbox, well done hht of Huang Transform.)

一篇数学建模论文写作相关的文章，教会大家如何写好其论文。(A mathematical modeling paper writing a related article, the church How to write a thesis.)

Multivariable Frequency Domain Toolbox

this file contain some useful common communication matlab m tool. like QAM PSK and simulation of receiving noisy signal

JULIA集合的几个分形图，后附有MATLAB原程序代码。(JULIA集合的几个分形图，后附有MATLAB原程序代码)

聚类算法：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。 这里是MAtlab源代码。(err)

In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).

运用PCA和LDA进行人脸识别的MATLAB代码 (do the face recognition use the principal component analysis and linear discriminant analysis)