ITE / code / H_I_D / meta_estimators / HTsallis_HRenyi_estimation.m

function [H] = HTsallis_HRenyi_estimation(Y,co)
%Estimates the Tsallis entropy (H) of Y (Y(:,t) is the t^th sample)
%using via the Renyi entropy and the H_{T,alpha} = (e^{H_{R,alpha}(1-alpha)} - 1) / (1-alpha) relation. Cost parameters are provided in the cost object co.
%We make use of the naming convention 'H<name>_estimation', to ease embedding new entropy estimation methods.
%Copyright (C) 2012 Zoltan Szabo ("", "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 <>.


H =  H_estimation(Y,co.member_co); %Renyi entropy
H = (exp(H * (1-co.alpha)) - 1) / (1-co.alpha); %Renyi->Tsallis entropy