代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/483033/6607857
m ukf_nmcda_predict.m
%UKF_NMCDA_PREDICT UKF/NMCDA Prediction step
%
% Syntax:
% S = ukf_nmcda_predict(S,a,Q,param)
%
% Author:
% Simo S鋜kk
www.eeworm.com/read/483033/6607862
m ekf_mcda_predict.m
%EKF_MCDA_PREDICT EKF Monte Carlo Data Association Prediction
%
% Syntax:
% S = EKF_MCDA_PREDICT(S,A,Q,AM,AW,param)
%
% In:
% S - 1xN cell array containing particle structures.
% A - Deri
www.eeworm.com/read/483033/6607876
m ekf_nmcda_predict.m
%EKF_NMCDA_PREDICT EKF/NMCDA Prediction step
%
% Syntax:
% S = ekf_nmcda_predict(S,[A,Q,a,AW,param])
%
% Author:
% Simo S鋜kk
www.eeworm.com/read/483033/6607879
m ukf_mcda_predict.m
%UKF_MCDA_PREDICT UKF Monte Carlo Data Association Prediction
%
% Syntax:
% S = UKF_MCDA_PREDICT(S,a,Q,param)
%
% In:
% S - 1xN cell array of particle structures
% a - Dynamical model a
www.eeworm.com/read/483033/6607882
m kf_mcda_predict.m
%KF_MCDA_PREDICT KF Monte Carlo Data Association Prediction
%
% Syntax:
% S = KF_MCDA_PREDICT(S,A,Q)
%
% In:
% S - 1xN cell array containing particle structures.
% A - State transition matrix w
www.eeworm.com/read/483033/6607889
m kf_nmcda_predict.m
%KF_NMCDA_PREDICT KF/NMCDA Prediction step
%
% Syntax:
% S = kf_nmcda_predict(S,A,Q,B,u)
%
% Author:
% Simo S鋜kk
www.eeworm.com/read/478155/6720770
m nn predict control.m
p=[1520 510 50155 33.88;1468 521 5.321 35.79;
2412 1140 5.32 25.89;1750 129 4.7 23.8;
1688 361 4.865 27.08;1607 489 5.1 28.9;
1200 127 4.56 19.84;1990 148 4.89 19.373;
1509 511 5.1
www.eeworm.com/read/407295/11422495
m ekf_predict2.m
%EKF_PREDICT2 2nd order Extended Kalman Filter prediction step
%
% Syntax:
% [M,P] = EKF_PREDICT2(M,P,[A,F,Q,a,W,param])
%
% In:
% M - Nx1 mean state estimate of previous step
% P - NxN state c
www.eeworm.com/read/407295/11422496
m ukf_predict1.m
%UKF_PREDICT1 Nonaugmented (Additive) UKF prediction step
%
% Syntax:
% [M,P] = UKF_PREDICT1(M,P,[a,Q,param,alpha,beta,kappa,mat])
%
% In:
% M - Nx1 mean state estimate of previous step
% P - N
www.eeworm.com/read/407295/11422497
m ukf_predict2.m
%UKF_PREDICT2 Augmented (state and process noise) UKF prediction step
%
% Syntax:
% [M,P] = UKF_PREDICT2(M,P,a,Q,[param,alpha,beta,kappa])
%
% In:
% M - Nx1 mean state estimate of previous step
%