代码搜索：modelling
找到约 315 项符合「modelling」的源代码
代码结果 315
www.eeworm.com/read/455490/7370745
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/308359/13703616
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/300891/13883297
m fx_deconv.m
function [DATA_f] = fx_deconv(DATA,lf,mu,flow,fhigh,dt,type);
%FX_DECONV: SNR enhancement using FX-AR modelling.
% This is Canales' FX deconvolution.
%
% [DATA_f] = fx_deconv(DATA,lf,mu,fl
www.eeworm.com/read/250805/12383848
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/233013/14173745
m fx_deconv.m
function [DATA_f] = fx_deconv(DATA,lf,mu,flow,fhigh,dt,type);
%FX_DECONV: SNR enhancement using FX-AR modelling.
% This is Canales' FX deconvolution.
%
% [DATA_f] = fx_deconv(DATA,lf,mu,fl
www.eeworm.com/read/455463/1614716
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/194440/8195073
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/235612/14061770
m vz_fkmod.m
function [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
% VZ_FKMOD: V(z) modelling by an fk technique
%
% [arymod,tmod,xmod]=vz_fkmod(aryin,vel,t,x,params)
%
% VZ_FKMOD performs zero-offset v(
www.eeworm.com/read/470861/1443343
svn-base spm_ar.m.svn-base
function [ar] = spm_ar (Z,p,verbose)
% Bayesian autoregressive modelling
% FORMAT [ar] = spm_ar (Z,p,verbose)
%
% y_pred (t) = -\sum_{i=1}^p a_i y (t-i) + e (t)
% Note the sign and ordering
%
% The n
www.eeworm.com/read/429878/8783847
htm demgmm3.htm
Netlab Reference Manual demgmm3
demgmm3
Purpose
Demonstrate density modelling with a Gaussian mixture model.
Synopsis