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/274874/4181809

m splitstep2dmodel.m

function [dm,scanaxis,tt2w,nx,dx,nt,dt,antenna_freq] = splitstep2dmodel() % % SPLITSTEP2DMODEL: GPR forward modelling using the method of Bitri and % Grandjean (1998,Geophysical Prospecting, 46, 28
www.eeworm.com/read/249499/12491101

r mvr.r

### mvr.R: plsr/pcr modelling functions ### ### $Id: mvr.R 135 2007-09-06 08:50:04Z bhm $ ### ### The top level user function. Implements a formula interface and calls the ### correct fit function to
www.eeworm.com/read/303435/3812599

makesmalltest

#! /bin/sh set -x # # This script produces a velocity model for the modelling # # To view the model type: # ximage < velocity.dir n1=100 # # # Stig-Kyrre Foss, 29.Oct 2001 ninf=1 nx=100 nz=100 dx=
www.eeworm.com/read/139775/13135027

m fx_deconv.m

function [DATA_f] = fx_deconv(DATA,lf,mu,flow,fhigh,dt,type); %FX_DECONV: SNR enhancement using FX-AR modelling, also % known as Canales' FX Deconvolution % % [DATA_f] = fx_deconv(DATA,lf,
www.eeworm.com/read/250469/12404694

m fx.m

function [DATA_f] = fx(DATA,lf,mu,flow,fhigh,dt,type); %FX: SNR enhancement using FX-AR modelling % % FX processing using Canales' method. % % [DATA_f] = fx(DATA,lf,mu,flow,fhigh,dt,itype) % % IN
www.eeworm.com/read/470861/1443332

svn-base spm_mar.m.svn-base

function [mar,y,y_pred] = spm_mar (X,p,prior) % Bayesian Multivariate Autoregressive Modelling % FORMAT [mar,y,y_pred] = spm_mar (X,p,prior) % % Matrix of AR coefficients are in form % x_t = -a_1
www.eeworm.com/read/371706/9540894

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/168118/9938645

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/357618/10204674

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/276583/10725673

c modular.c

//FMNMS.C Fuzzy Modular Network Modelling System for DOS # include # include # include # include # include # define M_nSample 100 //最多学习样本数目