代码搜索结果

// measure.h: Header file for the measure.c file // Copyright (C) 2005 Andrew Greenberg // Distributed under the GNU GENERAL PUBLIC LICENSE (GPL) Version 2 (June 1991). // See the "COPYING" file dist

/*""FILE COMMENT""***************************************************** * M32R C Programming Rev. 1.00 * < Sample Program for TIO4 measure clear input mode > * * Copyright (c) 2003 Renesas T

// KalmanFilter.cpp : Defines the class behaviors for the application. // #include "stdafx.h" #include "KalmanFilter.h" #include "KalmanFilterDlg.h" #include "math.h" #include "myStruct.h" #i

;; Rigolusb.inf ;; ********* PLEASE READ *********** ;; The wizard cannot create exact INF files for all buses and device types. ;; You may have to make changes to this file in order to get your

function [x,P] = k_update(x,P,A,b,R) % K_UPDATE Kalman update, one measurement per call % Observation covariance R %Kai Borre 11-24-96 %Copyright (c) 1997 by Kai Borre %$Revision: 1.0

function [y] = ukf_hfun(x,u,n,t); % PURPOSE : Measurement model function fpr UKF. % INPUTS : - x: Hidden state % : - u: control vector % - n: Measurement noise % - t

% 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 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

% 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 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