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Measurement 的代码
l_gu.m
function units=l_gu(wlog,mnem)
% Get units of measurement of curve with mnemonic "mnem" from log data set "wlog"
% If S4M.case_sensitive is set to false, the case of the curve mnemonic is disregarded.
dp256.cna
[CALIBRATION_LIST]
Count=28
[DISPLAY_PAGE_1]
Name=电池监测
Comment=
[DISPLAY_PAGES]
Count=7
Active=6
[FILE_INFO]
Identification=CANape-Configuration-File
FileName=dp256.cna
FileVersion=30
ungm_dh_dx.m
% Jacobian of the measurement model function for the UNGM-model.
%
% Copyright (C) 2007 Jouni Hartikainen
%
% This software is distributed under the GNU General Public
% Licence (version 2 or later);
tf_smooth.m
%TF_SMOOTH Two filter based Smoother
%
% Syntax:
% [M,P] = TF_SMOOTH(M,P,Y,A,Q,H,R,[use_inf])
%
% In:
% M - NxK matrix of K mean estimates from Kalman filter
% P - NxNxK matrix of K state covar
az_h_2a.m
%AZ_H Azimuth measurement function for EKF.with 2d attributes
%
% \V{x} = [x y vx vy a1 a2]^T
%
% h = atan((y-sy) / (x-sx))
% a = [a1 a2]^T
% Y = [h;a]
%
% Copyright (C) 2003 Simo S鋜kk
load_meas.cxgate
#include "per_XDx512_L15Y.h"
#include "load_meas.h"
#pragma MESSAGE DISABLE C2705
#pragma CODE_SEG XGATE_CODE
#pragma DATA_SEG __RPAGE_SEG XGATE_DATA
/* These routines are used to measure l
ungm_dh_dx.m
% Jacobian of the measurement model function for the UNGM-model.
%
% Copyright (C) 2007 Jouni Hartikainen
%
% This software is distributed under the GNU General Public
% Licence (version 2 or later);
tf_smooth.m
%TF_SMOOTH Two filter based Smoother
%
% Syntax:
% [M,P] = TF_SMOOTH(M,P,Y,A,Q,H,R,[use_inf])
%
% In:
% M - NxK matrix of K mean estimates from Kalman filter
% P - NxNxK matrix of K state covar
gene_2d_2sen.m
% gene_2d_2sen.m
%
% generate the measurements for a 2-D scenario of two closely spaced targets with
% two asynchronous sensors
function measurement = gene_2d_2sen(target)
% define SNR
SNRdb
gene_2d_sen2.m
% gene_2d_sen2.m
%
% generate the measurements for a 2-D scenario of two closely spaced targets with
% sensor 2
function measurement = gene_2d_sen2(target)
% define SNR
SNRdb = 10;
SNR = 10^