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找到约 2,425 项符合 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^