lcmv_beamform

这是一个高频滤波程序，采用的是两种方法分别实现(This is a high-frequency filtering process, using two methods, respectively, to achieve)

聚类分析工具箱 亚历山大博士写的，用于聚类分析，功能比较全(Cluster Analysis and Cluster Ensemble Software ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and ClusterEnsemble as described in the following. They are a selection out of my personal codebase for machine learning research. They contain general clustering algorithms as well as special algorithms developed in my research as indicated in the README files)

Matlab, PML, FDTD, 3D

a good workshop routine package for linear model by using MLE estimation method

DNA排序问题，其中包含了DNA排序的全部解决源代码并且附有说明(DNA sequencing problem, which contains the full DNA sequence and annotated source code to solve)

精通matlab 科学计算 第5-7章代码(Proficient in matlab scientific computing Chapter 5-7 code )

M=512 原图像长度 N=64 K=8 I=zeros(M,M) J=zeros(N,N) BLOCK=zeros(K,K) 显示原图像 I=imread( f:ceshiyuanshitu.bmp ) figure imshow(I) xlabel( 原始图像 ) 显示水印图像 J=imread( f:ceshilogistic_nuaa64.bmp ) figure imshow(J) xlabel( 水印图像 ) 嵌入水印 tem=1 for p=1:N for q=1:N x=(p-1)*K+1 y=(q-1)*K+1 BLOCK=I(x:x+K-1,y:y+K-1) BLOCK=dct2(BLOCK) if J(p,q)==0 a=-1 else a=1 end BLOCK(2,1)=BLOCK(2,1)*(1+a*0.01) BLOCK=idct2(BLOCK) I(x:x+K-1,y:y+K-1)=BLOCK end end 显示嵌入水印后的图像 figure imshow(I) xlabel( 嵌入水印后的图像 ) imwrite(I, f:ceshiembedded.bmp )

均值漂移的实验环境，可实现边缘检测和影像分割。包含可执行文件和功能说明。(the tool can help designer realize the segmentation by using method of mean_shift.)

this is a communicaton system book. for MIMO chenel.

In many applications, such as biomedical engineering, it is often required to obtain specific periodic source signals. In this paper, we propose a two-stage based approach for extracting periodic signals. At the first stage, the autocorrelation property of the desired source signal is exploited to roughly extract the desired source signal. At the second stage, the extracted signal is further processed as cleanly as possible, based on the higher-order statistics. Simulations on artificially generated data and real-world ECG data have showed its better performance, compared with many existing extraction algorithms.