📄 pdf.m
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function p = pdf(OBJ, t, x)% PDF Compute pdf for a Gaussian distribution% P = PDF(W, T, X) pdf of W at time T for values X. T is ignored. % Copyright (C) 2005 Gustaf Hendeby%% 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 2% 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, write to the Free Software% Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. % FIXME: Improve input check error(nargchk(3, 3, nargin)); if OBJ.n == 1 xbar = x - OBJ.mu; p = (2*pi*OBJ.R)^-.5 * exp(-0.5*xbar./OBJ.R.*xbar); else % FIXME: Consider the treatment of this case. N = size(x); if N(1) ~= OBJ.n || length(N) ~= 2 error('Cannot compute PDF for arrays of N-dim Gaussians.'); end mu = OBJ.mu; R = OBJ.R; for i = 1:N(2) xbar = x(:, i) - mu; p(i) = exp(-0.5*xbar'/OBJ.R*xbar); end p = p*(2*pi)^(-.5*OBJ.n)*det(OBJ.R)^(-.5); end
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