#include <itpp/signal/fastica.h>
#include <itpp/signal/sigfun.h>
#include <itpp/signal/resampling.h>
#include <itpp/base/algebra/eigen.h>
#include <itpp/base/algebra/svd.h>
#include <itpp/base/math/trig_hyp.h>
#include <itpp/base/matfunc.h>
#include <itpp/base/random.h>
#include <itpp/base/sort.h>
#include <itpp/base/specmat.h>
#include <itpp/base/svec.h>
#include <itpp/base/math/min_max.h>
#include <itpp/stat/misc_stat.h>
-------------------------------------------------------------------------
Copyright (C) 1995-2008 (see AUTHORS file for a list of contributors)
This file is part of IT++ - a C++ library of mathematical, signal processing, speech processing, and communications classes and functions.
IT++ 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.
IT++ 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 IT++. If not, see <http://www.gnu.org/licenses/>.
-------------------------------------------------------------------------
This is IT++ implementation of the original Matlab package FastICA.
This code is Copyright (C) 2004 by: Francois CAYRE and Teddy FURON TEMICS Project INRIA/Rennes (IRISA) Campus Universitaire de Beaulieu 35042 RENNES cedex FRANCE
Email : firstname.lastname@irisa.fr
Matlab package is Copyright (C) 1998 by: Jarmo HURRI, Hugo GAVERT, Jaakko SARELA and Aapo HYVARINEN Laboratory of Information and Computer Science Helsinki University of Technology *
URL : http://www.cis.hut.fi/projects/ica/fastica/about.shtml
If you use results given by this FastICA software in an article for a scientific journal, conference proceedings or similar, please include the following original reference in the bibliography :
A. Hyvarinen, Fast and Robust Fixed-Point Algorithms for Independent Component Analysis, IEEE Transactions on Neural Networks 10(3):626-634, 1999
Differences with the original Matlab implementation:
1.5.8