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Measurement 的代码
test_imm.m
%测试当前统计模型算法程序
clear;
clc;
close all;
T=1;%采样时间
M=10;%monto-carlo仿真次数
RMSE_ca_cv=zeros(3,201);
RMSE_measurement=zeros(1,201);
for kk=1:M
% create_data1;
create_data2;
% create_data3;
test_imm.m
%测试当前统计模型算法程序
clear;
clc;
close all;
T=1;%采样时间
M=10;%monto-carlo仿真次数
RMSE_ca_cv=zeros(3,201);
RMSE_measurement=zeros(1,201);
for kk=1:M
% create_data1;
create_data2;
% create_data3;
test_imm.m
%测试当前统计模型算法程序
clear;
clc;
close all;
T=1;%采样时间
M=10;%monto-carlo仿真次数
RMSE_ca_cv=zeros(3,201);
RMSE_measurement=zeros(1,201);
for kk=1:M
% create_data1;
create_data2;
% create_data3;
kernel.java
package jnt.scimark2;
public class kernel
{
// each measurement returns approx Mflops
public static double measureFFT(int N, double mintime, Random R)
{
// initialize FFT data as complex (N re
kernel.java
package jnt.scimark2;
public class kernel
{
// each measurement returns approx Mflops
public static double measureFFT(int N, double mintime, Random R)
{
// initialize FFT data as complex (N re
s_gu.m
function units=s_gu(seismic,mnem)
% Get units of measurement of the header with mnemonic "mnem" from seismic data set "seismic".
% If S4M.case_sensitive is set to false, the case of the header mnemoni
toi automation.m
function example8
% MATLAB/MXA example 8
% TOI automated measurement and surface plot
% Version: 1.0
% Date: Sep 11, 2006
% 2006 Agilent Technologies, Inc.
% Clean up any unclosed instrume
regrreconc.m
function [v] = RegrReconc(v,R,G,g)
% [v] = RegrReconc(v,R,G,g)
%
% Data reconciliation.
%
% Input parameters:
% - v: Original data vector (n x 1)
% - R: Assumed measurement covariance
l_convert.m
function wlog=l_convert(curves,info,aux_wlog)
% Function converts a matrix of curve values, curve names, curve units of measurement,
% curve description, etc. into a well log structure.
% Written by:
s_gu.m
function units=s_gu(seismic,mnem)
% Get units of measurement of the header with mnemonic "mnem" from seismic data set "seismic".
% If S4M.case_sensitive is set to false, the case of the header mnemoni