Q2

带有相关性MIMO信道仿真程序，仿真的是MIMO平坦衰落信道。(associated with MIMO channel simulation program, based on the MIMO flat fading channel.)

Function approximation

说明：  使用Matlab编写的逆谐波程序。该程序对于不同的参数进行了实验。当图像噪声不同时，选用不同的参数。参数的正确选择很重要。本程序给出了不同噪声比较适合的参数选择(The use of Matlab procedures for the preparation of the inverse harmonic. The program parameters for different experiments. When the image noise is not at the same time, choosing different parameters. Correct choice of parameters is very important. This procedure gives more suitable for different noise parameters)

metlab中的GUI实验内容，详细罗列了实验内容(the experiments of GUI)

成功实现计算LzehxN算法的程序，本人测试已经通过，性能已基本达到LzehxN算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 (The successful implementation of the program to calculate LzehxN algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me )

文件夹 论文及原附带程序 是Abdel-Rahman Hedar,Masao Fukushima的论文《Tabu Search directed by direct search methods for nonlinear global optimization》是一篇连续禁忌搜索的算法。( 文件夹 论文及原附带程序 是Abdel-Rahman Hedar,Masao Fukushima的论文《Tabu Search directed by direct search methods for nonlinear global optimization》是一篇连续禁忌搜索的算法。 文件夹 论文及原附带程序 是Abdel-Rahman Hedar,Masao Fukushima的论文《Tabu Search directed by direct search methods for nonlinear global optimization》是一篇连续禁忌搜索的算法。 Folder paper and raw supplementary procedure is Abdel Rahman Hedar, Masao Fukushima papers the tabu search directed by direct search methods for nonlinear global optimization is a piece of continuous tabu search algorithm. )

clear all I=imread( lena.bmp ) figure imshow(I) I2=imrotate(I,-4, bilinear ) 逆时针旋转4度 figure imshow(I2) I3=fliplr(I) 垂直镜像 figure imshow(I3) I4=imresize(I,0.5, bilinear ) 缩小为原图的1/2 figure imshow(I4) A=double(I) 转换为double类型 计算7个不变矩 [nc,nr]=size(A) [x,y]=meshgrid(1:nr,1:nc) 得到网格 x=x(:) y=y(:) A=A(:) m.m00=sum(A) if m.m00==0 m.m00=eps end m.m10=sum(x.*A) m.m01=sum(y.*A) 计算均值 xmean=m.m10/m.m00 ymean=m.m01/m.m00 计算中心矩(li9_23.rar cm.cm00=m.m00 cm.cm02=(sum((y-ymean).^2.*A))/(m.m00^2) cm.cm03=(sum((y-ymean).^3.*A))/(m.m00^2.5) cm.cm11=(sum((x-xmean).*(y-ymean).*A))/(m.m00^2) cm.cm12=(sum((x-xmean).*(y-ymean).^2.*A))/(m.m00^2.5) cm.cm20=(sum((x-xmean).^2.*A))/(m.m00^2) cm.cm21=(sum((x-xmean).^2.*(y-ymean).*A))/(m.m00^2.5) cm.cm30=(sum((x-xmean).^3.*A))/(m.m00^2.5) im(1)=cm.cm20+cm.cm02 im(2)=(cm.cm20-cm.cm02)^2+4*cm.cm11^2 im(3)=(cm.cm30-3*cm.cm12)^2+(3*cm.cm21-cm.cm03)^2 im(4)=(cm.cm30+cm.cm12)^2+(cm.cm21+cm.cm03)^2 im(5)=(cm.cm30-3*cm.cm12)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm21-cm.cm03)*(cm.cm21+cm.cm03)... +(3*(cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2) im(6)=(cm.cm20-cm.cm02)*((cm.cm30+cm.cm12)^2-(cm.cm21+cm.cm03)^2)... +4*cm.cm11*(cm.cm30+cm.cm12)*(cm.cm21+cm.cm03) im(7)=(3*cm.cm21-cm.cm03)*(cm.cm30+cm.cm12)... *((cm.cm30+cm.cm12)^2-3*(cm.cm21+cm.cm03)^2)... +(3*cm.cm12-cm.cm30)*(cm.cm21+cm.cm03)... *()

deFuzzy matlab code

地震CT射线追踪CPP,考虑了深度临界值的情况(Earthquake CT ray tracing CPP, consider the case of the depth threshold)

matalb图像处理基础源代码，整理版，可以实图像变换的一些基本功能(matalb based image processing source code, finishing version, you can actually change some of the basic functions of image)