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/287917/8661238

m ex3_23.m

X=input('Enter X:'); E=zeros(size(X)); F=eye(size(X)); n=1; while norm(F,1)>0 E=E+F; F=F*X/n; n=n+1; end E xpm(X) %调用MATLAB矩阵指数函数求矩阵指数
www.eeworm.com/read/431621/8664742

m ip_05_07.m

% MATLAB script for Illustrated Problem 5.7. 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',x2,y2,'*
www.eeworm.com/read/387560/8665144

m eml_sps_test.m

% eml_sps_test.m % compare aspire and matlab versions of E-ML-SPS % Copyright Mar 2000, Jeff Fessler, The University of Michigan % % generate data % if ~isvar('yi'), disp 'setup eml_sps_test' f.dir
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m eml_psca_test.m

% eml_psca_test.m % compare aspire and matlab versions of E-ML-PSCA % Copyright Apr 2000, Jeff Fessler, The University of Michigan % % generate data % if ~isvar('yi'), disp 'setup eml_psca_test' if
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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)
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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/431603/8666116

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
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txt matlab遗传算法工具箱函数及实例讲解2.txt

matlab遗传算法工具箱函数及实例讲解2 【问题】在-5
www.eeworm.com/read/431414/8678030

dat bookinfo.dat

[General Information] 书名=MATLAB扩展编程 含盘特征参数 作者= 页数=372 SS号=0 出版日期= Vss号=74490816
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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; %------------