代码搜索：Matlab仿真
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m rand.m
%R=rand(m,n) 生成(0,1)上均匀分布的m行n列随机矩阵
%RAND Uniformly distributed random numbers.
% RAND(N) is an N-by-N matrix with random entries, chosen from
% a uniform distribution on the interval (0.0,1.0
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txt readme.txt
Notes on using MATLAB .M files accompanying the text
Discrete-Time Control Problems
using MATLAB and the Control Systems Toolbox
by J. H. Chow, D. K. Fre
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m reorderdset.m
function a = reorderdset(a,L)
% This is just needed to execute the below command outside the @dataset
% directory, as it fails there in some Matlab versions
a(L,:) = a;
return
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m p0312.m
I=imread('blood1.tif');
imshow(I);
f=double(I); % 数据类型转换，MATLAB不支持图像的无符号整型的计算
g=fft2(f); % 傅立叶变换
g=fftshift(g); % 转换数据矩阵
[M,N]=size(g);
nn=2; % 二阶巴特沃斯(Butterworth)高通滤波器
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m m4ustp.m
% M-file for the second part of Project 4 on linearized analysis
% in Chapter 6 to obtain the unit step response of the motor
% transfer function, numG/denG.
% It can only be used after the tra
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m ip_01_01.m
% MATLAB script for Illustrative Problem 1, Chapter 1.
n=[-20:1:20];
x=abs(sinc(n/2));
stem(n,x);
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m ip_04_04.m
% MATLAB script for Illustrative Problem 4.4.
echo on ;
a=[-10,-5,-4,-2,0,1,3,5,10];
for i=1:length(a)-1
y(i)=centroid('normal',a(i),a(i+1),0.001,0,1);
echo off ;
end
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m samp3_1_1.m
%Samp3_1_1
clear all %将工作空间中的所有变量清除
N=256;dt=0.02; %数据的个数和采样间隔
n=0:N-1;t=n*dt; %序号序列和时间序列
x=sin(2*pi*t)+0.5*sin(2*pi*5*t); %信号加得到的合成信号
m=N;
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readme
IMPLEMENTATION OF THE DIFFUSION-BASED APPROACH TO SHAPE FROM DEFOCUS
Paolo Favaro
p.favaro@hw.ac.uk
This is a Matl