#include <itpp/base/mat.h>
#include <itpp/base/vec.h>
Go to the source code of this file.
Namespaces | |
namespace | itpp |
Classes | |
class | itpp::Fast_ICA |
Fast_ICA Fast Independent Component Analysis (Fast ICA). More... | |
Defines | |
#define | FICA_APPROACH_DEFL 2 |
Use deflation approach : compute IC one-by-one in a Gram-Schmidt-like fashion. | |
#define | FICA_APPROACH_SYMM 1 |
Use symmetric approach : compute all ICs at a time. | |
#define | FICA_NONLIN_POW3 10 |
Use x^3 non-linearity. | |
#define | FICA_NONLIN_TANH 20 |
Use tanh(x) non-linearity. | |
#define | FICA_NONLIN_GAUSS 30 |
Use Gaussian non-linearity. | |
#define | FICA_NONLIN_SKEW 40 |
Use skew non-linearity. | |
#define | FICA_INIT_RAND 0 |
Set random start for Fast_ICA. | |
#define | FICA_INIT_GUESS 1 |
Set predefined start for Fast_ICA. | |
#define | FICA_TOL 1e-9 |
Eigenvalues of the covariance matrix lower than FICA_TOL are discarded for analysis. |
$Date$ $Revision$
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IT++ - C++ library of mathematical, signal processing, speech processing, and communications classes and functions
Copyright (C) 1995-2007 (see AUTHORS file for a list of contributors)
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 St, Fifth Floor, Boston, MA 02110-1301 USA
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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:
Definition in file fastica.h.
#define FICA_APPROACH_DEFL 2 |
Use deflation approach : compute IC one-by-one in a Gram-Schmidt-like fashion.
Definition at line 74 of file fastica.h.
Referenced by itpp::Fast_ICA::set_approach().
#define FICA_APPROACH_SYMM 1 |
Use symmetric approach : compute all ICs at a time.
Definition at line 76 of file fastica.h.
Referenced by itpp::Fast_ICA::Fast_ICA(), and fpica().
#define FICA_NONLIN_POW3 10 |
Use x^3 non-linearity.
Definition at line 79 of file fastica.h.
Referenced by itpp::Fast_ICA::Fast_ICA(), and fpica().
#define FICA_NONLIN_TANH 20 |
#define FICA_NONLIN_GAUSS 30 |
#define FICA_NONLIN_SKEW 40 |
#define FICA_INIT_RAND 0 |
Set random start for Fast_ICA.
Definition at line 88 of file fastica.h.
Referenced by itpp::Fast_ICA::Fast_ICA().
#define FICA_INIT_GUESS 1 |
#define FICA_TOL 1e-9 |
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