代码搜索：MATLAB LMD
找到约 10,000 项符合「MATLAB LMD」的源代码
代码结果 10,000
www.eeworm.com/read/361503/10050052
h minmax.h
/*
* MATLAB Compiler: 3.0
* Date: Sun May 13 16:47:41 2007
* Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
* "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/361503/10050054
h rands.h
/*
* MATLAB Compiler: 3.0
* Date: Sun May 13 16:47:40 2007
* Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
* "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/361503/10050075
h tlm2.h
/*
* MATLAB Compiler: 3.0
* Date: Sun May 13 16:47:40 2007
* Arguments: "-B" "macro_default" "-O" "all" "-O" "fold_scalar_mxarrays:on"
* "-O" "fold_non_scalar_mxarrays:on" "-O" "optimize_integ
www.eeworm.com/read/165633/10055613
txt note.txt
1、把本节提供的 Mygui1.m , Myguizzy.m , Mycolormap.m , Myapply.m , Myedit.m 五个文件放在 MATLAB 的搜索路径上。
2、先运行 Myguizzy.m ，创建数据文件 Mygui1.mat 。
3、运行 Mygui1.m ，就可得到符合要求的界面。
www.eeworm.com/read/165406/10063614
m exa110701_pwelch.m
%-------------------------------------------------------------------------
% exa1100701_pwelch.m, for example 11.7.1 and fig. 11.5.1(d)
% to estimate the PSD of x(n) by Welch average;
%------------
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m exa090804_svd.m
%-----------------------------------------------------------------------
% exa090804_svd.m, for example 9.8.4
% to test svd.m;
% 在MATLAB6.1 和 MATLAB5.3下运行该程序，所得到的 U,V矩阵稍有不同，
% 但奇异值是一样的
%---------
www.eeworm.com/read/360988/10070376
m exa110701_pwelch.m
%-------------------------------------------------------------------------
% exa1100701_pwelch.m, for example 11.7.1 and fig. 11.5.1(d)
% to estimate the PSD of x(n) by Welch average;
%------------
www.eeworm.com/read/164813/10086847
m p0302.m
I=imread('cameraman.tif'); % MATLAB自带的图像，如图3-3所示
imshow(I);
clear;close all
I=imread('cameraman.tif');
imshow(I);
I=im2double(I);
T=dctmtx(8);
B=blkproc(I,[8 8], 'P1*x*P2',T,T');
Ma
www.eeworm.com/read/164813/10086850
m p0304.m
I=imread('pout.tif'); % 读取MATLAB自带的potu.tif图像
imshow(I);
figure,imhist(I);
[J,T]=histeq(I,64); % 图像灰度扩展到0~255，但是只有64个灰度级
figure,imshow(J);
figure,imhist(J);
figure,plot((0:255)/255,T)