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