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ITE / code / H_I_D / D_estimation.m

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function [D] = D_estimation(Y1,Y2,co)
%Estimates divergence between Y1 and Y2; using the method/cost object co.
%
%INPUT:
%   Y1,Y2: Y1(:,t) is the t^th sample from the first distribution. Y2(:,t) is the t^th sample from the second distribution.
%  co: divergence estimator object (structure).
%
%Copyright (C) 2012 Zoltan Szabo ("http://nipg.inf.elte.hu/szzoli", "szzoli (at) cs (dot) elte (dot) hu")
%
%This file is part of the ITE (Information Theoretical Estimators) Matlab/Octave toolbox.
%
%ITE is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by
%the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
%
%This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
%MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details.
%
%You should have received a copy of the GNU General Public License along with ITE. If not, see <http://www.gnu.org/licenses/>.

%Here, we make use of the naming convention 'D<name>_estimation':
    eval(['D=D',co.name,'_estimation(Y1,Y2,co);']);%example: D = DRenyi_kNN_k_estimation(Y1,Y2,co);