代码搜索:UserData

找到约 4,368 项符合「UserData」的源代码

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m fftgui.m

function fftgui(y) %FFTGUI Demonstration of Finite Fourier Transform. % FFTGUI(y) plots real(y), imag(y), real(fft(y)) and imag(fft(y)). % FFTGUI, without any arguments, uses y = zeros(1,32). % Wh
www.eeworm.com/read/316412/13523401

m rungeinterp.m

function rungeinterp(arg) %RUNGEINTERP Runge's polynomial interpolation example. % F(x) = 1/(1+25*x^2) % Polynomial interpolation at equally spaced points, -1
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m pdegui.m

function pdegui(action) %PDEGUI Demonstrate solution of model partial differential equations. % PDEGUI demonstrates the finite difference solution of model problems % involving Laplace's operator: %
www.eeworm.com/read/316047/13531478

m legd_proc.m

%legd_proc processing legends on a graphics window. % % i_Legends=legd_proc(nTask,arg1) %where % nTask -- the code for legend processing. Details can be found in the comments %
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m clbktplt.m

function clbktplt(varargin) % Callback function template % Install this callback by invoking it with the command % clbktplt('init_block') % at the MATLAB prompt with the appropriate model file open an
www.eeworm.com/read/315069/13552933

m legd_proc.m

%legd_proc processing legends on a graphics window. % % i_Legends=legd_proc(nTask,arg1) %where % nTask -- the code for legend processing. Details can be found in the comments %
www.eeworm.com/read/313963/13577572

m eyediasi.m

function [sys, x0, str, ts] = eyediasi(t,x,u,flag,... timeRange, boundary, storeLength, eyeLine, scatterLine, twoDLine) %EYEDIASI Simulink eye diagram and scatter plot. % [SYS, X0, STR, TS]
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m e3_phase.m

function [sys,x0,str,ts] = e3_phase(t,x,u,flag) % The following outlines the pwminput S-function. switch flag, case 0, [sys,x0,str,ts]=mdlInitializeSizes; case 3, sys=mdlOut
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m createdata.m

function result = createdata(action,varargin) % CREATEDATA Interactive data generator. % % Synopsis: % createdata % createdata('finite') % createdata('finite',num_classes) % createdata('gau
www.eeworm.com/read/312163/13617517

m demo_mmgauss.m

function demo_mmgauss(action,hfigure,varargin) % DEMO_MMGAUSS Demo on minimax estimation for Gaussian. % % Synopsis: % demo_mmgauss % % Description: % demo_mmgauss demonstrates the minimax estimati