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Measurement 的代码
niincludes.h
////////////////////////////////////////////////////////////////////////////////
//
// Title : NiIncludes.h
// Purpose : This file is used to include the proper headers and namespaces
//
clutter_plot1.m
% Draws the filtered estimate of the clutter demo
% Set the figure properties
set(gcf,'PaperType','a4');
set(gcf,'PaperPosition',[0.25 2.5 3.8 3]);
set(gca,'Position',[0.25 2.5 3.8 3]);
niincludes.h
////////////////////////////////////////////////////////////////////////////////
//
// Title : NiIncludes.h
// Purpose : This file is used to include the proper headers and namespaces
//
transformer_saturable.mdl
Model {
Name "transformer_saturable"
Version 5.0
SaveDefaultBlockParams on
SampleTimeColors off
LibraryLinkDisplay "none"
WideLines off
ShowLineDimensions off
no_load_hazha.mdl
Model {
Name "no_load_hazha"
Version 5.0
SaveDefaultBlockParams on
SampleTimeColors off
LibraryLinkDisplay "none"
WideLines off
ShowLineDimensions off
ShowPort
kfcov.m
% kfcov.m
% Scope: This MATLAB macro generates Kalman filter covariance matrix when the
% parameters are constants; conventional formulation is implemented.
mreast.m
% mreast.m
% Scope: This MATLAB macro executes measurement reasonableness test for a
% given scalar measurement.
% Usage: alpha = mreast(n,ud,h,r,dz,tes
mudm.m
% mudm.m
% Scope: This MATLAB macro implements the discrete Kalman filter measurement
% updating using Bierman's U-D measurement update algorithm. Onl
mudm1.m
% mudm1.m
% Scope: This MATLAB macro implements the discrete Kalman filter measurement
% updating using Bierman's U-D measurement update algorithm. On
kfcova.m
% kfcova.m
% Scope: This MATLAB macro generates Kalman filter covariance matrix when the
% parameters are constants; alternate conventional formulation