wendingbianjie21

induction machine,many examples

说明：  对音乐波形的自动分析，用傅里叶级数或傅里叶变换的方法来做，最后用分析得到的吉他的特性来演奏东方红(Music waveform automatic analysis, using Fourier series or Fourier transform method to do, and finally the analysis of the characteristics of the guitar to play East Is Red)

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 clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics 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 indicators.)

雷达点目标成像：产生Stripmap SAR的回波 (Radar point target imaging)

《MATLAB 7.0编程基础基础》源程序 第二章(" MATLAB 7.0 programming foundation foundation source)

LEACH is a basic protocol

说明：  可以通过输入刚度或阻尼数组，生成刚度（阻尼）矩阵。(The stiffness (damping) matrix can be generated by input stiffness or damping arrays.)

利用matlab求解微分方程的实例，代码可以直接运行(Using matlab to solve differential equations instance, the code can be run directly)

上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！(From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!)

瑞利衰落信道下，分簇协作的频谱感知，设定一个门限值，在AND规则下大于门限值的仿真(Rayleigh fading channel, the clustering collaborative spectrum sensing, adaptive collaboration)