代码搜索：UserData
找到约 4,368 项符合「UserData」的源代码
代码结果 4,368
www.eeworm.com/read/439271/7713297
m qmodlred.m
function qmodlred(flag)
% QMODLRED Set up model reduction interface. (Utility Function)
% QMODLRED performs a model reduction on the present controller.
% Author: Craig Borghesani
% 10/
www.eeworm.com/read/439271/7713305
m cntcnvt.m
function cntcnvt(flag)
% CNTCNVT Controller convertor 1. (Utility Function)
% CNTCNVT converts pole/zero pairs into lead/lag terms.
% Author: Craig Borghesani
% Date: 11/1/93
% Revised:
www.eeworm.com/read/438675/7728364
m segmentimage.m
function SegmentImage(imgfile1,choice)
if nargin==2
switch choice
case 'b1'
ud = get(gcf,'UserData');
ud = update_view(ud);
[ud.pt1(2) ud.pt1(1) ud.pt2(2) ud.pt2(1)]
if ud.flag == 0
www.eeworm.com/read/299459/7849909
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/299459/7850637
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
www.eeworm.com/read/299459/7850721
m demo_emgmm.m
function demo_emgmm(action,hfigure,varargin)
% DEMO_EMGMM Demo on Expectation-Maximization (EM) algorithm.
%
% Synopsis:
% demo_emgmm
%
% Description:
% This demo shows the Expectation-Maximization
www.eeworm.com/read/198947/7902892
m pertone.m
% pertone Demonstrates Per Tone equalizers design functions
% in the DMTTEQ Toolbox.
%
% To start the demo type "pertone".
%
% For more information use the "info" button after starting
% the demo.
%
www.eeworm.com/read/198947/7902991
m tfb.m
% TFB Demonstrates time domain equalizer filter bank design functions
% in the DMTTEQ Toolbox.
%
% To start the demo type "tfb".
%
% For more information use the "info" button after starting
% t
www.eeworm.com/read/298871/7928648
m nnd16a1.m
function nnd16a1(cmd,arg1,arg2,arg3)
%NND16A1 ART1 algorithm demonstration.
% First Version, 8-31-95.
%==================================================================
% CONSTANTS
me = 'n
www.eeworm.com/read/298871/7928702
m nnd14fm2.m
function nnd14fm2(cmd,arg1,arg2,arg3)
%NND14FM2 2-D feature map demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%=========================