kf_update.m
来自「This a collection of MATLAB functions fo」· M 代码 · 共 10 行
M
10 行
function [x,P]= KF_update(x,P,v,R,H)
%function [x,P] = KF_update(x,P,v,R,H)
%
% Calculate the Kalman filter update given the prior state [x,P], the innovation v, the
% observe uncertainty R, and the linear observation model H.
%
% Tim Bailey 2005.
[x,P]= KF_update_cholesky(x,P,v,R,H);
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