代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/288304/8643671
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/164684/10095528
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/426106/10286878
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/354551/10345928
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/353001/10484369
asv judge.asv
function [track,SaveTrack,tracknum,frameleavings,DeleteorNot,deletetracknum,ZZ]=Judge(track,SaveTrack,framedata,frameleavings,tracknum,num,spt,DeleteorNot,Predict_Gate,deletetracknum);
%本函数用于对第三帧以后的数
www.eeworm.com/read/353001/10484466
asv judge.asv
function [track,SaveTrack,tracknum,frameleavings,DeleteorNot,deletetracknum,ZZ]=Judge(track,SaveTrack,framedata,frameleavings,tracknum,num,spt,DeleteorNot,Predict_Gate,deletetracknum);
%本函数用于对第三帧以后的数
www.eeworm.com/read/454559/7387347
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/448526/7532065
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/298615/7949334
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%
www.eeworm.com/read/140957/13050748
m lms.m
function [W, e] = lms(u, d, mu, decay, verbose)
% function [W, e] = lms(u, d, mu, decay, verbose)
%
% lms.m - use multidimensional LMS algorithm to predict AR process
% written for MATLAB 4.0
%