代码搜索结果
找到约 2,425 项符合
Measurement 的代码
bot_h.m
% Azimuth measurement function for EKF/UKF.
%
% h = atan((y-sy) / (x-sx))
%
% Copyright (C) 2003 Simo S鋜kk
auto_baud_with_tracking.v
//-----------------------------------------------------------------------------
// Auto Baud with tracking core
//
// This file is part of the "auto_baud" project.
// http://www.opencores.org/
//
add_observation_noise.m
function z= add_observation_noise(z,R, addnoise)
%function z= add_observation_noise(z,R, addnoise)
%
% Add random measurement noise. We assume R is diagonal.
if addnoise == 1
len= size(
joseph.m
function [K,Pout] = joseph(z,R,H,P)
%
% P. D. Joseph's "stabilized" Kalman filter measurement
% update.
%
n = length(H);
zp = sqrt(1/R);
Hp = zp*H;
K = (Hp*P*Hp' + 1) \ P*Hp';
W = eye
joseph.m
function [K,Pout] = joseph(z,R,H,P)
%
% P. D. Joseph's "stabilized" Kalman filter measurement
% update.
%
n = length(H);
zp = sqrt(1/R);
Hp = zp*H;
K = (Hp*P*Hp' + 1) \ P*Hp';
W = eye
auto_baud_with_tracking.v
//-----------------------------------------------------------------------------
// Auto Baud with tracking core
//
// This file is part of the "auto_baud" project.
// http://www.opencores.org/
//
auto_baud.v
//-----------------------------------------------------------------------------
// Auto Baud core
//
// This file is part of the "auto_baud" project.
// http://www.opencores.org/
//
//
// Desc
joseph.m
function [K,Pout] = joseph(z,R,H,P)
%
% P. D. Joseph's "stabilized" Kalman filter measurement
% update.
%
n = length(H);
zp = sqrt(1/R);
Hp = zp*H;
K = (Hp*P*Hp' + 1) \ P*Hp';
W = eye
ekf_sine_dh_dx.m
% Jacobian of the measurement model function in the random sine signal demo
% Copyright (C) 2007 Jouni Hartikainen
%
% This software is distributed under the GNU General Public
% Licence (version 2
bot_h.m
% Azimuth measurement function for EKF/UKF.
%
% h = atan((y-sy) / (x-sx))
%
% Copyright (C) 2003 Simo S鋜kk