Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/netlab3.3/mdn2gmm.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function gmmmixes = mdn2gmm(mdnmixes) %MDN2GMM Converts an MDN mixture data structure to array of GMMs. % % Description % GMMMIXES = MDN2GMM(MDNMIXES) takes an MDN mixture data structure % MDNMIXES containing three matrices (for priors, centres and % variances) where each row represents the corresponding parameter % values for a different mixture model and creates an array of GMMs. % These can then be used with the standard Netlab Gaussian mixture % model functions. % % See also % GMM, MDN, MDNFWD % % Copyright (c) Ian T Nabney (1996-2001) % David J Evans (1998) % Check argument for consistency errstring = consist(mdnmixes, 'mdnmixes'); if ~isempty(errstring) error(errstring); end nmixes = size(mdnmixes.centres, 1); % Construct ndata structures containing the mixture model information. % First allocate the memory. tempmix = gmm(mdnmixes.dim_target, mdnmixes.ncentres, 'spherical'); f = fieldnames(tempmix); gmmmixes = cell(size(f, 1), 1, nmixes); gmmmixes = cell2struct(gmmmixes, f,1); % Then fill each structure in turn using gmmunpak. Assume that spherical % covariance structure is used. for i = 1:nmixes centres = reshape(mdnmixes.centres(i, :), mdnmixes.dim_target, ... mdnmixes.ncentres)'; gmmmixes(i) = gmmunpak(tempmix, [mdnmixes.mixcoeffs(i,:), ... centres(:)', mdnmixes.covars(i,:)]); end