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/169946/9829931
h mp4_predict.h
// mp4_predict.h //
#ifndef _MP4_PREDICT_H_
#define _MP4_PREDICT_H_
#define TOP 1
#define LEFT 0
#endif // _MP4_PREDICT_H_
#define _div_div(a, b) (a>0) ? (a+(b>>1))/b : (a-(b>>1))/b
www.eeworm.com/read/357950/10198118
m user_predict_tide.m
function user_predict_tide(UserPath)
%生成mike所需dfs1或dfs0
[StationNum,TideConst_All,OutputFileName,LatLon]=ReadData(UserPath);
Fid_Output=fopen(OutputFileName,'w');
DataType=2;
TempVar1=inputdlg({'
www.eeworm.com/read/355337/10274945
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/355337/10274948
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/355337/10274955
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
%
www.eeworm.com/read/355337/10275184
m ekf_predict1.m
%EKF_PREDICT1 1st order Extended Kalman Filter prediction step
%
% Syntax:
% [M,P] = EKF_PREDICT1(M,P,[A,Q,a,W,param])
%
% In:
% M - Nx1 mean state estimate of previous step
% P - NxN st
www.eeworm.com/read/355337/10275193
m ukf_predict3.m
%UKF_PREDICT3 Augmented (state, process and measurement noise) UKF prediction step
%
% Syntax:
% [M,P,X,w] = UKF_PREDICT3(M,P,a,Q,R,[param,alpha,beta,kappa])
%
% In:
% M - Nx1 mean state estimate
www.eeworm.com/read/355237/10284178
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/355237/10284182
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/355237/10284186
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
%