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