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混沌优化，用于求解非凸优化，算法运算速度快(Chaos optimization, for solving non-convex optimization, fast algorithm)

四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计(Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several metrics.)

试验数据处理的有效程序，对于模态分析很有效(Valid test data processing program, is very effective for modal analysis)

Matlab7.0，英文版的，讲的都是基础，适合初学入门者入门，很不错的资料。 (Matlab7.0, the English version, say are the basis, suitable for beginners entry, very good information.)

基于hmm的matlab程序，能够识别0—9十个数字(Hmm based on the matlab program, be able to identify dozens of figure 0-9)

install code to the document,and replease ,make project

使用matlab 2010a的实用教程，可以帮助你快速的理解使用matlab进行开发(Using matlab 2010a practical tutorials to help you quickly develop the understanding of using matlab)

介绍一种有关基于信号统计特性的频谱检测方法(statistics charcater spectrum detection)

Dear colleagues! I uploaded sample code for SIMPLE-algorithm and solving lid-driven cavity flow test. 2-D Lid Driven Cavity (Matlab)

跳频信号的短时傅里叶变换时频分析，在脉冲噪声干扰下的拟制噪声处理，并进行参数估计分析效果。(Short-time Fourier transform of frequency hopping signal time-frequency analysis, artificial noise under pulse noise processing, and analysis of parameter estimation results.)