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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
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