代码搜索：Predictive
找到约 274 项符合「Predictive」的源代码
代码结果 274
www.eeworm.com/read/205721/15308725
m,v demoproc2.m,v
head 3.0;
access;
symbols;
locks; strict;
comment @// @;
3.0
date 2000.06.13.19.18.52; author gilles; state Exp;
branches;
next 2.1;
2.1
date 99.06.18.15.53.30; author mah; state Exp;
branches;
nex
www.eeworm.com/read/167680/9955878
m gpcm05a22.m
% process's dynamics
na=7;
nb=9;
A=[1,-0.7836,-0.3322,-0.007717,0.04919,0.02815,0.0309,0.03564];
B=[0.003047,0.004778,0.008546,0.005764,0.004639,0.002812,-0.000382,0.001464,-0.003613,-0.000697
www.eeworm.com/read/355337/10274924
m ekf_update2.m
%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
%
www.eeworm.com/read/355337/10274926
m ekf_update1.m
%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 -
www.eeworm.com/read/355237/10284146
m ekf_update2.m
%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
%
www.eeworm.com/read/355237/10284153
m ekf_update1.m
%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 -
www.eeworm.com/read/355170/10289572
m ekf_update1.m
%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 -
www.eeworm.com/read/333209/7154831
m ekf_update2.m
%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
%
www.eeworm.com/read/333209/7154832
m ekf_update1.m
%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 -
www.eeworm.com/read/303058/13822603
m ekf_update2.m
%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
%