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/352274/10567992
m setinfo.m
function setinfo(editHndl,infoFile);
% SETINFO Read help information about SnS items from help files,
% and then store them in the uicontrols' UserData.
strMat=' ';
fid=fopen(infoFile)
www.eeworm.com/read/352274/10568257
m snsmap.m
function snsmap(action);
% SNSMAP Handles initialization and GUI interface for
% " Signal & System " maps.
figName='《信号与系统》实验教学系统';
global dc_flag clk_timer pVal
global runbtnHndl rbHn
www.eeworm.com/read/159921/10587898
m mmdemo.m
function []=mmdemo(action,hfigure,varargin)
% MMDEMO demo on the Minimax learning algorithm.
%
% MMDEMO demonstrates the Minimax learning algorithm on
% a simple examples in 2-dimensional featur
www.eeworm.com/read/159921/10587914
m unsudemo.m
function []=unsudemo(action,hfigure,varargin)
% UNSUDEMO demo on unsupervised (EM) learning algorithm.
%
% UNSUDEMO demonstrates the unsupervised (Expectation-Maximization)
% learning algorithm on
www.eeworm.com/read/159921/10587973
m quademo.m
function result = quademo(action,hfigure,varargin)
% QUADEMO demo on non-linear (quadratic) data mapping.
%
% QUADEMO demonstrates use of the linear algorithms
% which find quadratic decision functi
www.eeworm.com/read/159921/10588342
m creatset.m
function result = creatset(action,varargin)
% CREATSET interactive data sets generator.
%
% Generator is fully controled by mouse. The mouse buttons have
% the following functions:
% ------------
www.eeworm.com/read/159921/10588458
m lindemo.m
function result = lindemo(action,hfigure,varargin)
% LINDEMO demo on the linear learning algorithms.
%
% LINDEMO demonstrates use of the algorithms which find
% linear decision hyperplane between tw
www.eeworm.com/read/159921/10588515
m andrdemo.m
function result = andrdemo(action,hfigure,varargin)
% ANDRDEMO demo on Generalized Anderson's task.
%
% ANDRDEMO demonstrates the algorithms which solve
% the Generalized Anderson`s Task (GAT).
%
www.eeworm.com/read/159921/10588575
m fishdemo.m
function []=fishdemo(action,hfigure,varargin)
% FISHDEMO demo on algorithms which learn Fisher's classifer.
%
% FISHDEMO demonstrates use of algorithms finding the Fisher's
% classifier. The task is
www.eeworm.com/read/351297/10661003
c gsm_sms.c
// *************************************************************************
// * GSM TA/ME library
// *
// * File: gsm_sms.cc
// *
// * Purpose: SMS functions
// * (ETSI GSM 07.05)