analyticmeasurementmodel_gaussianuncertainty.cpp

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// $Id$
// Copyright (C) 2002 Klaas Gadeyne <first dot last at gmail dot com>
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as published by
// the Free Software Foundation; either version 2.1 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 Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
//

#include "analyticmeasurementmodel_gaussianuncertainty.h"

namespace BFL
{

  using namespace MatrixWrapper;

  // Constructor
  AnalyticMeasurementModelGaussianUncertainty::AnalyticMeasurementModelGaussianUncertainty
  (AnalyticConditionalGaussian* Measurementpdf)
    : MeasurementModel<ColumnVector,ColumnVector>(Measurementpdf)
  {}

  // Destructor
  AnalyticMeasurementModelGaussianUncertainty::~AnalyticMeasurementModelGaussianUncertainty()
  {}


  Matrix
  AnalyticMeasurementModelGaussianUncertainty::df_dxGet(const ColumnVector& u, const ColumnVector& x)
  {
    MeasurementPdfGet()->ConditionalArgumentSet(0,x);
    if (MeasurementPdfGet()->NumConditionalArgumentsGet() == 2) MeasurementPdfGet()->ConditionalArgumentSet(1,u);
    return dynamic_cast<AnalyticConditionalGaussian *>(MeasurementPdfGet())->dfGet(0);
  }


  ColumnVector
  AnalyticMeasurementModelGaussianUncertainty::PredictionGet(const ColumnVector& u, const ColumnVector& x)
  {
    MeasurementPdfGet()->ConditionalArgumentSet(0,x);
    if (MeasurementPdfGet()->NumConditionalArgumentsGet() == 2) MeasurementPdfGet()->ConditionalArgumentSet(1,u);
    return MeasurementPdfGet()->ExpectedValueGet();
  }


  SymmetricMatrix
  AnalyticMeasurementModelGaussianUncertainty::CovarianceGet(const ColumnVector& u, const ColumnVector& x)
  {
    MeasurementPdfGet()->ConditionalArgumentSet(0,x);
    if (MeasurementPdfGet()->NumConditionalArgumentsGet() == 2) MeasurementPdfGet()->ConditionalArgumentSet(1,u);
    return dynamic_cast<AnalyticConditionalGaussian *>(MeasurementPdfGet())->CovarianceGet();
  }

}