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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
//
hfun.m
function [y] = hfun(x,t);
% PURPOSE : Measurement model function.
% INPUTS : - x: The evaluation point in the domain.
% OUTPUTS : - y: The value of the function at x.
% AUTHORS :
% DATE :
if
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
forwardsolution.m
function [U,p,r]=ForwardSolution(NNode,NElement,A,C,T,MeasPattern,style,p,r);
%ForwardSolution Solves the potential distribution in 2D EIT
% Function [U,p,r]=ForwardSolution(MeshData,rho);
% compute
hsforwardsolution.m
function [U,p,r]=hsForwardSolution(NNode,NElement,A,C,T,MeasPattern,style,p,r);
%ForwardSolution Solves the potential distribution in 2D EIT
% Function [U,p,r]=ForwardSolution(MeshData,rho);
% compu
pcm_code.c
/**********************************************************************************
* FILE : PTMV2.C *
* DESCRIPTION *
* Revision 2.0.0
*
* Main program to control 4 plate polarisation t