代码搜索:UserData

找到约 4,368 项符合「UserData」的源代码

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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)