代码搜索：Non-linear
找到约 518 项符合「Non-linear」的源代码
代码结果 518
www.eeworm.com/read/264420/11315759
m da_olt3.m
function [ypred,x]=da_olt2(x,xold,coefs,filt,poly);
%
% Non-linear dynamic model
%
%
% Ensure the coefficients are in a column
%
[D L]=size(coefs);
if L > D
coefs=coefs';
end
%
% Poly
www.eeworm.com/read/344551/11872903
m emd.m
% EMD.M
%
% G. Rilling, July 2002
%
% computes EMD (Empirical Mode Decomposition) according to:
%
% N. E. Huang et al., "The empirical mode decomposition and the
% Hilbert spectrum for non-linear an
www.eeworm.com/read/253936/12176872
m emd.m
function [imf,ort,nbits] = emd(x,t,stop,tst);
% EMD (Empirical Mode Decomposition) according to:
%
% N. E. Huang et al., "The empirical mode decomposition and the
% Hilbert spectrum for non-linear a
www.eeworm.com/read/124842/14534539
m da_olt3.m
function [ypred,x]=da_olt2(x,xold,coefs,filt,poly);
%
% Non-linear dynamic model
%
%
% Ensure the coefficients are in a column
%
[D L]=size(coefs);
if L > D
coefs=coefs';
end
%
% Poly
www.eeworm.com/read/214740/15090372
m da_olt3.m
function [ypred,x]=da_olt2(x,xold,coefs,filt,poly);
%
% Non-linear dynamic model
%
%
% Ensure the coefficients are in a column
%
[D L]=size(coefs);
if L > D
coefs=coefs';
end
%
% Poly
www.eeworm.com/read/206158/15299317
m emd.m
% EMD.M
%
% G. Rilling, July 2002
%
% computes EMD (Empirical Mode Decomposition) according to:
%
% N. E. Huang et al., "The empirical mode decomposition and the
% Hilbert spectrum for non-linear an
www.eeworm.com/read/173274/9663895
m emd.m
% EMD.M
%
% G. Rilling, July 2002
%
% computes EMD (Empirical Mode Decomposition) according to:
%
% N. E. Huang et al., "The empirical mode decomposition and the
% Hilbert spectrum for non-linear an
www.eeworm.com/read/249464/12501559
m dacefit.m
function [dmodel, perf] = dacefit(S, Y, regr, corr, theta0, lob, upb)
%DACEFIT Constrained non-linear least-squares fit of a given correlation
% model to the provided data set and regression model
%
www.eeworm.com/read/202785/15373427
m da_olt3.m
function [ypred,x]=da_olt2(x,xold,coefs,filt,poly);
%
% Non-linear dynamic model
%
%
% Ensure the coefficients are in a column
%
[D L]=size(coefs);
if L > D
coefs=coefs';
end
%
% Poly