Narrowband-signal-doa

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.)

Compressive Sampling Matching Pursuit

基于小波变换的数字水印算法matlab代码，matlab小波分析程序，isodata 迭代自组织的数据分析。( Based on wavelet transform digital watermarking algorithm matlab code, matlab wavelet analysis program, Isodata iterative self-organizing data analysis.)

Gray scale for digital Image Processing MATLAB code

说明：  展示拉盖尔-高斯光束不同弧向量子数、径向量子数、束腰大小以及不同轴向位置上的光强分布。(The work shows the light intensity distribution of Laguerre-Gaussian beam with different parameters including radial quantum number, radial vector quantum number, waist size and different axial positions.)

说明：  fft分析程序，可以完成对输入信号的谐波分析，得到谐波的频率和幅值(fft analysis program, to be completed on the input signal harmonic analysis, harmonic frequency and amplitude)

program simulink of park s transform ,transforming 2 to 3 axes

Nearest positive semi-definite covariance matrix MATLAB fucntion (by Marco.B, BSD license)

y3k=fft(u,(m+n-2)/4) i=1:(m+n-2)/4 subplot(5,2,9) stem(i,u) title( 滤波后上采样 ) k=1:(m+n-2)/4 subplot(5,2,10) stem(k,y3k) title( 上采样频谱 ) xlabel( k ) ylabel( y3k ) (y3k = fft (u, (m+ n-2)/4) i = 1: (m+ n-2)/4 subplot (5,2,9) stem (i, u) title (after filtering the sample) k = 1: (m+ n-2)/4 subplot (5,2,10) stem (k, y3k) title (on the sample spectrum) xlabel (k) ylabel (y3k))

一个信号处理文件包，对于学习数字信号处理算法的还是很值得借鉴(digital signal processing.)