代码搜索：ESTIMATION

找到约 3,786 项符合「ESTIMATION」的源代码

代码结果 3,786
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www.eeworm.com/read/213492/15133829

m mlcgmm.m

function model=mlcgmm(data,cov_type) % MLCGMM Maximal Likelihood estimation of Gaussian mixture model. % % Synopsis: % model = mlcgmm(X) % model = mlcgmm(X,cov_type) % model = mlcgmm(data) % mode
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www.eeworm.com/read/210861/15190857

m arma.m

%iddemo4 % Lennart Ljung % Copyright (c) 1986-98 by The MathWorks, Inc. % $Revision: 3.4 $ $Date: 1997/12/02 03:42:55 $ echo on % In this demo we consider spectrum estimation, us
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www.eeworm.com/read/206661/15292444

m bispecdx.m

function [Bspec,waxis] = ... bispecdx (x, y, z, nfft, wind, nsamp, overlap,plotflag) %BISPECDX Cross-Bispectrum estimation using the direct (fft-based) approach. % [Bspec,waxis] = bispecdx (x,y
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www.eeworm.com/read/206661/15292448

m bicepsf.m

function [hest,ceps] = bicepsf (y,nlag,nsamp, overlap,flag, nfft, wind) %BICEPSF Non-parametric IR estimation using the bicesptrum (FFT method) % [hest, ceps] = bicepsf (y,nlag,segsamp,overlap,flag,
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www.eeworm.com/read/12816/246891

m torr_f_reprojection_error.m

% By Philip Torr 2002 % copyright Microsoft Corp. %used for non-linear estimation of reprojection error, of a match constrained by F function sq_err = torr_f_reprojection_error(est_point,
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www.eeworm.com/read/13871/284211

readme

HMMBOX, version 4.1, Iead Rezek, Oxford University, July 2001 Matlab toolbox for Variational estimation Hidden Markov Models. (Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and Coupled
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www.eeworm.com/read/470861/1443328

svn-base contents.m.svn-base

% SPM Spectral Estimation Toolbox % % Bayesian Autoregressive (AR) modelling: spm_ar.m % % Bayesian Multivariate Autoregressive (MAR) modelling [1,2,3]: spm_mar.m % % (MAR based) Granger causa
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www.eeworm.com/read/170938/5402555

m wt10fig12.m

%CAPTION : fprintf('\n'); disp('Figure 10.12') disp('Window 1: Piece-wise polynomial signal to which is added a') disp('musical signal (SNR=19.3db).') disp('Window 2: Estimation by extracting coh
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www.eeworm.com/read/348123/3158273

m approx_map.m

function H = approx_map(gamma,xihat) % APPROX_MAP - Approximate MAP spectral amplitude estimation (Wolfe and Godsill, 2001) % H = APPROX_MAP(GAMMA,XIHAT) returns the approximate MAP spectral amp
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www.eeworm.com/read/330303/3425723

hpp kernel.hpp

#ifndef INDII_ML_AUX_KERNEL_HPP #define INDII_ML_AUX_KERNEL_HPP namespace indii { namespace ml { namespace aux { /** * Kernel for density estimation. * * @author Lawrence Murray
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