代码搜索:predict

找到约 2,271 项符合「predict」的源代码

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h mp4_predict.h

/************************************************************************** * * * This code has been developed by Andrea Grazia
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obj mp4_predict.obj

www.eeworm.com/read/446824/7564270

m f_predict_pixel.m

function p = f_predict_pixel(a, w) % linear prediction ofthe pixel value "p" % "a" is the vector ofprevious pixels % "w" is thevector of wheigts % vector line input vectors... [n,m] = size(a
www.eeworm.com/read/143453/12874724

m svm_predict_with_stat.m

function [output, stat]=SVM_Predict_With_Stat(usemodfil, data, model, probability) % if (nargin < 2) || (nargin > 4) disp(' Incorrect number of input variables.\n'); help SVM_Predict;
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c mp4_predict.c

/******************************************************************************** * * * This code has been developed by Project Mayo. This software is an * * implementation
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h mp4_predict.h

/************************************************************************** * * * This code has been developed by Andrea Graz
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obj mp4_predict.obj

www.eeworm.com/read/303058/13822609

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
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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
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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 %