代码搜索:matlab、人工免疫
找到约 10,000 项符合「matlab、人工免疫」的源代码
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www.eeworm.com/read/315071/13552897
m t1.m
function varargout = t1(varargin)
% T1 M-file for t1.fig
% T1, by itself, creates a new T1 or raises the existing
% singleton*.
%
% H = T1 returns the handle to a new T1 or the han
www.eeworm.com/read/314287/13569728
dat bookinfo.dat
[General Information]
书名=小波分析理论与MATLAB7实现
作者=
页数=471
SS号=0
出版日期=
www.eeworm.com/read/313963/13577729
m ip_02_05.m
% MATLAB script for Illustrative Problem 5, Chapter 2.
clear
echo on
% first part
Sx1=[ones(1,32)];
Rx1=ifft(Sx1,32);
% second part
Sx2=[ones(1,16),zeros(1,224),ones(1,16)];
Rx2=ifft(Sx2,256)
www.eeworm.com/read/313963/13577840
m ip_05_07.m
% MATLAB script for Illustrated Problem 5.7.
clear
echo on
n0=.5*randn(100,1);
n1=.5*randn(100,1);
n2=.5*randn(100,1);
n3=.5*randn(100,1);
x1=1.+n0;
y1=n1;
x2=n2;
y2=1.+n3;
plot(x1,y1,'o',x
www.eeworm.com/read/313956/13577864
m ip_02_05.m
% MATLAB script for Illustrative Problem 5, Chapter 2.
echo on
% first part
Sx1=[ones(1,32)];
Rx1=ifft(Sx1,32);
% second part
Sx2=[ones(1,16),zeros(1,224),ones(1,16)];
Rx2=ifft(Sx2,256);
% pl
www.eeworm.com/read/313956/13577991
m ip_07_09.m
% MATLAB script for Illustrative Problem 9, Chapter 7
echo on
num=[0.01 1];
den=[1 1.01 1];
[a,b,c,d]=tf2ss(num,den);
dt=0.01;
u=ones(1,2000);
x=zeros(2,2001);
for i=1:2000
x(:,i+1)=x(:,i)+
www.eeworm.com/read/313066/13597317
txt readme.txt
在matlab中,设置当前的目录为工作目录,在命令行中输入fpextractdemo,即可运行程序。
www.eeworm.com/read/312988/13599834
m ccsinspect.m
function varargout = ccsinspect(varargin)
% CCSINSPECT GUI Inspector of embedded C variables
% CCSINSPECT opens a window for exploring the variables
% of an embedded target loaded into Code Co
www.eeworm.com/read/312588/13608616
m ip_02_05.m
% MATLAB script for Illustrative Problem 5, Chapter 2.
echo on
% first part
Sx1=[ones(1,32)];
Rx1=ifft(Sx1,32);
% second part
Sx2=[ones(1,16),zeros(1,224),ones(1,16)];
Rx2=ifft(Sx2,256);
% pl
www.eeworm.com/read/311984/13620548
m yanzheng.m
%
k=-25:25;
n=1:50;
A=444.128; %设置信号有关的参数
a=50*sqrt(2.0)*pi;
T=0.001; %采样率
w0=50*sqrt(2.0)*pi; %ω符号在MatLab中不能输入,用w代替
x=A*exp(-a*n*T).*sin(w0*n*T); %pi是MATL