代码搜索:ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
www.eeworm.com/read/411674/11233510

html contents.html

Contents.m
www.eeworm.com/read/411674/11233969

m contents.m

% Probability distribution functions. % % estimation - (dir) Probability distribution estimation. % % erfc2 - Normal cumulative distribution function. % gmmsamp - Generates sample from Gau
www.eeworm.com/read/411648/11235166

m ex13-2_hybridbody.m

function [AltErr, VelErr, BallErr] = HybridBody % Hybrid extended Kalman filter example. % Track a body falling through the atmosphere. % Outputs are: % AltErr = RMS altitude estimation error
www.eeworm.com/read/411648/11235170

m ex5-1_discretekfex1.m

function DiscreteKFEx1(N) % Discrete time Kalman filter for position estimation of a Newtonian system. % This example illustrates the effectiveness of the Kalman filter for state % estimation. It
www.eeworm.com/read/411648/11235175

m ex7-12_kalmanconstrained.m

function KalmanConstrained % function KalmanConstrained % This m-file simulates a vehicle tracking problem. % The vehicle state is estimated with a Kalman filter. % In addition, with the a prior
www.eeworm.com/read/411648/11235193

m ex13-2_extendedbody.m

function [AltErr, VelErr, BallErr] = ExtendedBody % Continuous time etended Kalman filter example. % Track a body falling through the atmosphere. % Outputs are: % AltErr = RMS altitude estimat
www.eeworm.com/read/249848/12465758

m estimationerror.m

function [rxMsg] = EstimationError(idealRxMsg,phaseError,dopplerError) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % function [rxMsg] = Channel(modMsg,gammaBar) % This functio
www.eeworm.com/read/238364/13891403

m chap7_10f.m

%Discrete Kalman filter %x=Ax+B(u+w(k)); %y=Cx+D+v(k) function [u]=kalman(u1,u2,u3) persistent A B C D Q R P x yv=u2; if u3==0 x=zeros(2,1); ts=0.001; a=25;b=133; sys=tf(b,[1,a
www.eeworm.com/read/236814/13997978

m chap7_10f.m

%Discrete Kalman filter %x=Ax+B(u+w(k)); %y=Cx+D+v(k) function [u]=kalman(u1,u2,u3) persistent A B C D Q R P x yv=u2; if u3==0 x=zeros(2,1); ts=0.001; a=25;b=133; sys=tf(b,[1,a
www.eeworm.com/read/202754/15374537

todo

LPE padding for P frames check if vectors must be clipped to fit in extended region * yes, check half pel clipping * no, check we code the min diff / prediction check color compensation Bugfixes ==