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/**************************************************************** * * * Copyright (c) 2001-2007 McObject LLC. All Right Reserved. * *

function q = useralg_pre(X) % This is a sparseness measurement algorithm defined by the user. % X: Observations % q: result

function [y] = bshfun(x,u,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : Nando de Fre

% qrupa.m % Scope: This MATLAB macro implements the updating algorithm [1] for Q-R % factorization of the modified measurement matrix when a new %

//----------------------------------------------------------------------------- // F06x_ADC0_ExternalInput.c //----------------------------------------------------------------------------- // Copyr

C51 COMPILER V8.08 TEMP_1 12/24/2008 09:37:52 PAGE 1 C51 COMPILER V8.08, COMPILATION OF MODULE TEMP_1 OBJECT MODULE PLACED IN

%EKF_UPDATE2 2nd order Extended Kalman Filter update step % % Syntax: % [M,P,K,MU,S,LH] = EKF_UPDATE2(M,P,Y,H,H_xx,R,[h,V,param]) % % In: % M - Nx1 mean state estimate after prediction step %

%EKF_UPDATE1 1st order Extended Kalman Filter update step % % Syntax: % [M,P,K,MU,S,LH] = EKF_UPDATE1(M,P,Y,H,R,[h,V,param]) % % In: % M - Nx1 mean state estimate after prediction step % P -

% Measurement model function for the random sine signal demo % Copyright (C) 2007 Jouni Hartikainen % % This software is distributed under the GNU General Public % Licence (version 2 or later); plea

% Jacobian of the measurement model function in reentry demo. % % Copyright (C) 2005-2006 Simo S鋜kk