tongxinyuanli

matlab标准遗传算法 优化函数为f=-(x-1)^2+4，其中，0<=x<=3(matlab)

此为非数据辅助的频偏估计算法的MATLAB仿真(data supporting this non- Offset Estimation Algorithm MATLAB)

本书附带光盘中包括了全书所有实例对应的MATLAB的M文件。所有代码按照章节存放在各个文件夹下，如“第4章 插值”文件夹下存放了本书第4章所有的算法程序代码，对于算法的程序代码，在光盘中存为同函数名的M文件，例如，Language.m表示求已知数据点的拉格朗日插值多项式的程序，依此类推。(Book with CD-ROM includes all instances of the book corresponds to the MATLAB M-file. All code is stored in accordance with chapters in every folder, such as " Chapter 4 interpolation" folder stored under chapter 4 of the algorithm all the code for the algorithm of the program code, stored on CD-ROM for the same function name in the M file, for example, Language.m known data points that seek Lagrange polynomial interpolation procedures, and so on.)

用matlab编写的图像特征提取程序，其中包括一个提取8维HSV颜色直方图特征的函数，一个可以批量处理图像的主程序。(Prepared using matlab image feature extraction procedures, including an 8-dimensional HSV color histogram extracted feature functions, one of the main program can batch process images.)

可以进行DEA分析。并给出一些例子，可供参考。(DEA analysis can be carried out. Some examples are given for reference.)

说明：  重力资料处理异常分离来分离区域异常和局部异常(Gravity anomaly separation of data processing to separate regional anomalies and local anomaly)

实现了数字信号处理在双音多频拨号系统中的应用，并用MATLAB实现。(Realization of the digital signal processing in a dual tone multi-frequency dialing system, and use MATLAB implementation.)

this is an matlab version of remobval of normal noise

求对称矩阵全部特征值的Jacobi方法(Symmetric matrix for all the eigenvalues of Jacobi method)

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.)