代码搜索:机载SAR
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www.eeworm.com/read/419334/10873730
rc lich_a_sar.rc
//Microsoft Developer Studio generated resource script.
//
#include "resource.h"
#define APSTUDIO_READONLY_SYMBOLS
/////////////////////////////////////////////////////////////////////////////
www.eeworm.com/read/419334/10873732
clw lich_a_sar.clw
; CLW file contains information for the MFC ClassWizard
[General Info]
Version=1
LastClass=CLich_A_SarDlg
LastTemplate=CDialog
NewFileInclude1=#include "stdafx.h"
NewFileInclude2=#include "Lic
www.eeworm.com/read/419334/10873734
aps lich_a_sar.aps
www.eeworm.com/read/419334/10873742
h lich_a_sar.h
// Lich_A_Sar.h : main header file for the LICH_A_SAR application
//
#if !defined(AFX_LICH_A_SAR_H__F9DF009B_7FA1_421A_8622_00D6D09253A7__INCLUDED_)
#define AFX_LICH_A_SAR_H__F9DF009B_7FA1_421A_8
www.eeworm.com/read/463888/7173873
m sar_sig.m
%%SAR回波
%Stripmap 模式下SAR的回波生成
%NUDT,Hezhihua
%E-mail:skynismile@yahoo.com.cn
%last update:6/7/2005
clear all
%%range:x domain
%x=c*t/2,kx=2*f/c
Tx=200;%时宽200m(1.33us)
Bx=1;%带宽1(1/m)(150MHz)
www.eeworm.com/read/457360/7327052
afl sar-fornextbarstop.afl
//------------------------------------------------------------------------------
//
// Formula Name: SAR-ForNextBarStop
// Author/Uploader: Rick Charon
// E-mail: rickcharon@yahoo.
www.eeworm.com/read/449577/7500310
get_sar_parms
#!/bin/tcsh -f
set prf = `grep 'Pulse_Repetition_Frequency' ../master.res | gawk '{print $4}'`
set rsr = `grep 'Range_sampling_rate ' ../master.res | gawk '{print $4}'`
echo $prf > sar_parms.in
echo
www.eeworm.com/read/449504/7502826
m sar_panel.m
function results = sar_panel(y,x,W,T,info)
% PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods)
% y = p*W*y + X*b + e, using sparse matrix algorith
www.eeworm.com/read/449504/7502994
m sar_mcarlo.m
% PURPOSE: A Monte Carlo comparison of GMM sem and ML sem
% estimation of the spatial error model
% in a Monte Carlo experiment that compares maximum likelihood and GMM estimation
%--------------
www.eeworm.com/read/449504/7503000
m sar_gmmd.m
% PURPOSE: An example of using sar_gmm
% GM estimation of spatial autoregressive model (on a small data set)
%
%------------------------------------------------