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/273525/4210494

ado mdsmat.ado

*! version 1.0.1 10may2005 program mdsmat version 9 if replay() { if "`e(cmd)'" != "mdsmat" { dis as err "mdsmat estimation results not found" exit 301 } Display `0' exit
www.eeworm.com/read/427864/1964808

m wt04fig22.m

%CAPTION fprintf('\n'); disp('Figure 4.22') disp('Window 1: Realization of a locally stationary process.') disp('Window 2: Estimation of the Wigner-Ville spectrum calculated by') disp('averaging
www.eeworm.com/read/427042/1983879

svn-base motion_est_mmx.c.svn-base

/* * MMX optimized motion estimation * Copyright (c) 2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * mostly by Michael Niedermayer * * This file is pa
www.eeworm.com/read/427042/1983925

c motion_est_mmx.c

/* * MMX optimized motion estimation * Copyright (c) 2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * mostly by Michael Niedermayer * * This file is pa
www.eeworm.com/read/420803/2061120

c motion_est_mmx.c

/* * MMX optimized motion estimation * Copyright (c) 2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * This file is part of FFmpeg. * * FFmpeg is free software; you
www.eeworm.com/read/413855/2157585

cc pep.cc

/* * pep.{cc,hh} -- Grid Position Estimation Protocol * Robert Morris * * Copyright (c) 1999-2000 Massachusetts Institute of Technology * * Permission is hereby granted, free of charge, to any p
www.eeworm.com/read/403017/2316522

m program_10_1.m

% Program 10_1 % Estimation of FIR Filter Order Using remezord % fedge = input('Type in the bandedges = '); mval = input('Desired magnitude values in each band = '); dev = input('Allowable deviat
www.eeworm.com/read/396408/2421355

c motion_est_mmx.c

/* * MMX optimized motion estimation * Copyright (c) 2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * mostly by Michael Niedermayer * * This file is pa
www.eeworm.com/read/388600/2549118

bib paper.bib

@Article{resol, author = {S[ergey] Fomel and J[ames] Berryman and R[obert] Clapp and M[arie] Prucha}, title = {Iterative resolution estimation in least-squares {Kirchhoff} migration}, jo
www.eeworm.com/read/386597/2570166

m bayesian_parameter_est.m

function [mu, sigma] = Bayesian_parameter_est(train_patterns, train_targets, sigma) % Estimate the mean using the Bayesian parameter estimation for Gaussian mixture algorithm % Inputs: % pattern