mimo_codes

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.)

非常好的资料,希望大家有用,GA遗传算法的Matlab程序原理资料.(Very good information, I hope everyone useful, GA genetic algorithm Matlab program theory information.)

CLP Interface to LP/QP solver MEXCLP

MATLAB与VC混合编程 对大家很有帮助的 希望大家可以下载 MATLAB与VC混合编程 对大家很有帮助的 希望大家可以下载(MATLAB and VC mixed programming Helpful I hope we can download)

matlab-OFDM-SLM-PAPR-BER系统仿真(matlab-OFDM-SLM-PAPR-BER system )

说明：  自己编写的BP算法,里面有些参数可以自己修改(bp)

here i have attatched codes for pca image processing

这个matlab源程序 系统详细的描述了 滤波器模型的计算方法(The matlab source system, a detailed description of the calculation method filter model)

这是一个2fsk的跳频系统程序，很有帮助的，(This is a 2fsk hopping system procedures, helpful,)

The use of fingerprints for identification has been employed in law enforcement for about a century. A much broader application of fingerprints is for personal authentication, for instance to access a computer, a network, a bank-machine, a car, or a home. The topic of this chapter is fingerprint verification, where "verification" implies a user matching a fingerprint against a single fingerprint associated with the identity that the user claims. The following topics are covered: history, image processing methods, enrollment and verification procedures, system security considerations, recognition rate statistics, fingerprint capture devices, combination with other biometrics, and the future of fingerprint verification.