X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?a=blobdiff_plain;f=octave_packages%2Ftsa-4.2.4%2Fselmo2.m;fp=octave_packages%2Ftsa-4.2.4%2Fselmo2.m;h=4214f83b88db0674cdbd5da3424c4d79708dcdd7;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hp=0000000000000000000000000000000000000000;hpb=1705066eceaaea976f010f669ce8e972f3734b05;p=CreaPhase.git

diff --git a/octave_packages/tsa-4.2.4/selmo2.m b/octave_packages/tsa-4.2.4/selmo2.m
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+function X = selmo2(y,Pmax); 
+% SELMO2 - model order selection for univariate and multivariate 
+%   autoregressive models 
+% 
+%  X = selmo(y,Pmax); 
+%  
+%  y 	data series
+%  Pmax maximum model order 
+%  X.A, X.B, X.C parameters of AR model 
+%  X.OPT... various optimization criteria
+% 
+% see also: SELMO, MVAR, 
+
+%	$Id: selmo2.m 5090 2008-06-05 08:12:04Z schloegl $
+%	Copyright (C) 2007 by Alois Schloegl <a.schloegl@ieee.org>		
+%       This is part of the TSA-toolbox. See also 
+%       http://hci.tugraz.at/schloegl/matlab/tsa/
+%       http://octave.sourceforge.net/
+%       http://biosig.sourceforge.net/
+%
+%    This program 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 program 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 this program.  If not, see <http://www.gnu.org/licenses/>.
+
+
+[M,N]=size(y); 
+if M>N,
+	y=y';
+end; 
+[M,N]=size(y); 
+
+% Univariate AR 
+[AutoCov, AutoCorr, ARPMX, E, NC] = invest0(y,Pmax);
+[FPE,AIC,BIC,SBC,MDL,CATcrit,PHI,optFPE,optAIC,optBIC,optSBC,optMDL,optCAT,optPHI,s,C] = selmo(E,NC);
+
+
+% AIC for MVAR model 
+[AR,RC,PE] = mvar(y',Pmax); 
+E2 = repmat(NaN,1,Pmax); 
+for k = 0:Pmax,
+	S = PE(:,k*M+(1:M));
+	E2(k+1) = trace(S); 
+
+	%%%% FIX ME %%%%% this does not seem right because it depends on the scaling of y
+	AIC_MV(k+1) = 2*log(det(S))+2*k*M*M/N; % Ding et al. 2000 refering to Akaike 1974
+end; 	
+
+
+X.A = [eye(M),-AR];
+X.B = eye(M);
+X.C = S;
+X.datatype = 'MVAR'; 
+X.MV.AIC = AIC_MV; 
+X.UV.FPE = FPE; 
+X.UV.AIC = AIC; 
+X.UV.BIC = BIC; 
+X.UV.MDL = MDL; 
+X.UV.CAT = CATcrit; 
+X.UV.PHI = PHI; 
+
+X.OPT.FPE = optFPE; 
+X.OPT.AIC = optAIC; 
+X.OPT.BIC = optBIC; 
+X.OPT.MDL = optMDL; 
+X.OPT.CAT = optCAT; 
+X.OPT.PHI = optPHI; 
+
+[tmp,X.OPT.MVAIC] = min(AIC_MV);