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/365479/9862252

readme

***** README MI 0.9 **** Mutual information computation, conditional probability and entropy estimation for discrete/categorical variables. by Hanchuan Peng, 2007-May-3. Address update: Note that t
www.eeworm.com/read/361768/10036640

m tarch.m

function [parameters, likelihood, ht, stderrors, robustSE, scores] = tarch(data , p , o, q , type, startingvals, options) % PURPOSE: % TARCH(P,O,Q) parameter estimation with normal innovations
www.eeworm.com/read/165864/10048487

m locaccuracy.m

% locAccuracy.m % Given arr (a set of phone positions), calculate and plot the % accuracy of locations calculated with the time-delay estimation method. % % For example, this one looks pretty: % arr
www.eeworm.com/read/163929/10139522

m matul.m

function [hest] = matul (bisp) %MATUL Impulse response estimation using Matsuoka-Ulrych algorithm % hest = matul(bisp) % bisp - the estimated bispectrum % (e.g., as computed by bispecd or
www.eeworm.com/read/163801/10144888

m matul.m

function [hest] = matul (bisp) %MATUL Impulse response estimation using Matsuoka-Ulrych algorithm % hest = matul(bisp) % bisp - the estimated bispectrum % (e.g., as computed by bispecd or
www.eeworm.com/read/359009/10171263

m garchfit.m

function [coefficients, errors, LLF, innovations, sigma, summary] = garchfit(spec , y , X) %GARCHFIT Univariate GARCH process parameter estimation. % Given an observed univariate return series, es
www.eeworm.com/read/356808/10221121

m matul.m

function [hest] = matul (bisp) %MATUL Impulse response estimation using Matsuoka-Ulrych algorithm % hest = matul(bisp) % bisp - the estimated bispectrum % (e.g., as computed by bispecd or
www.eeworm.com/read/356808/10221165

m matul.m

function [hest] = matul (bisp) %MATUL Impulse response estimation using Matsuoka-Ulrych algorithm % hest = matul(bisp) % bisp - the estimated bispectrum % (e.g., as computed by bispecd or
www.eeworm.com/read/162188/10328445

src cml.src

/* ** cml.src CML - Maximum Likelihood Estimation with General ** Nonlinear Constraints on Parameters ** ** (C) Copyright 1994-1996 Aptech Systems, Inc. ** All Rights Reserved.
www.eeworm.com/read/352960/10487775

c motion_est.c

/* * Motion estimation * Copyright (c) 2000,2001 Fabrice Bellard. * Copyright (c) 2002-2004 Michael Niedermayer * * * This library is free software; you can redistribute it and/or * modify it