OpenMEEG
OpenMEEG
include
forward.h
Go to the documentation of this file.
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/*
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Project Name : OpenMEEG
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© INRIA and ENPC (contributors: Geoffray ADDE, Maureen CLERC, Alexandre
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GRAMFORT, Renaud KERIVEN, Jan KYBIC, Perrine LANDREAU, Théodore PAPADOPOULO,
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Emmanuel OLIVI
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Maureen.Clerc.AT.inria.fr, keriven.AT.certis.enpc.fr,
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kybic.AT.fel.cvut.cz, papadop.AT.inria.fr)
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The OpenMEEG software is a C++ package for solving the forward/inverse
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problems of electroencephalography and magnetoencephalography.
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This software is governed by the CeCILL-B license under French law and
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abiding by the rules of distribution of free software. You can use,
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modify and/ or redistribute the software under the terms of the CeCILL-B
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license as circulated by CEA, CNRS and INRIA at the following URL
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"http://www.cecill.info".
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As a counterpart to the access to the source code and rights to copy,
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modify and redistribute granted by the license, users are provided only
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with a limited warranty and the software's authors, the holders of the
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economic rights, and the successive licensors have only limited
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liability.
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In this respect, the user's attention is drawn to the risks associated
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with loading, using, modifying and/or developing or reproducing the
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software by the user in light of its specific status of free software,
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that may mean that it is complicated to manipulate, and that also
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therefore means that it is reserved for developers and experienced
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professionals having in-depth computer knowledge. Users are therefore
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encouraged to load and test the software's suitability as regards their
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requirements in conditions enabling the security of their systems and/or
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data to be ensured and, more generally, to use and operate it in the
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same conditions as regards security.
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The fact that you are presently reading this means that you have had
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knowledge of the CeCILL-B license and that you accept its terms.
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*/
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#pragma once
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#include "
matrix.h
"
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#include "
symmatrix.h
"
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#include "
vector.h
"
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namespace
OpenMEEG
{
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class
Forward
:
public
virtual
Matrix
{
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public
:
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Forward
(
const
Matrix
& GainMatrix,
const
Matrix
& RealSourcesData,
double
NoiseLevel);
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virtual
~Forward
() {};
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};
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void
compute_forward
(
Matrix
& SimulatedData,
const
Matrix
& GainMatrix,
const
Matrix
& RealSourcesData,
double
NoiseLevel) {
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SimulatedData = GainMatrix * RealSourcesData;
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for
(
unsigned
i = 0; i < SimulatedData.
nlin
(); ++i) {
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for
(
unsigned
j = 0; j < SimulatedData.
ncol
(); ++j) {
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SimulatedData(i,j) += NoiseLevel *
gaussian
();
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}
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}
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}
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Forward::Forward
(
const
Matrix
& GainMatrix,
const
Matrix
& RealSourcesData,
double
NoiseLevel) {
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compute_forward
(*
this
, GainMatrix, RealSourcesData, NoiseLevel);
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}
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}
OpenMEEG::gaussian
double gaussian()
Definition:
om_utils.h:100
OpenMEEG::Forward::~Forward
virtual ~Forward()
Definition:
forward.h:51
OpenMEEG::Forward::Forward
Forward(const Matrix &GainMatrix, const Matrix &RealSourcesData, double NoiseLevel)
Definition:
forward.h:65
OpenMEEG::LinOpInfo::nlin
size_t nlin() const
Definition:
linop.h:77
OpenMEEG
Definition:
analytics.h:45
matrix.h
symmatrix.h
OpenMEEG::Forward
Definition:
forward.h:48
OpenMEEG::LinOpInfo::ncol
virtual size_t ncol() const
Definition:
linop.h:80
OpenMEEG::Matrix
Matrix class.
Definition:
matrix.h:61
OpenMEEG::compute_forward
void compute_forward(Matrix &SimulatedData, const Matrix &GainMatrix, const Matrix &RealSourcesData, double NoiseLevel)
Definition:
forward.h:54
vector.h
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