vpGaussRand.h

/****************************************************************************
 *
 * ViSP, open source Visual Servoing Platform software.
 * Copyright (C) 2005 - 2019 by Inria. All rights reserved.
 *
 * This software 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.
 * See the file LICENSE.txt at the root directory of this source
 * distribution for additional information about the GNU GPL.
 *
 * For using ViSP with software that can not be combined with the GNU
 * GPL, please contact Inria about acquiring a ViSP Professional
 * Edition License.
 *
 * See http://visp.inria.fr for more information.
 *
 * This software was developed at:
 * Inria Rennes - Bretagne Atlantique
 * Campus Universitaire de Beaulieu
 * 35042 Rennes Cedex
 * France
 *
 * If you have questions regarding the use of this file, please contact
 * Inria at visp@inria.fr
 *
 * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
 * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
 *
 * Description:
 * Generation of random number with uniform and normal probability density.
 *
 * Authors:
 * Eric Marchand
 *
 *****************************************************************************/

#ifndef vpGaussRand_hh
#define vpGaussRand_hh

#include <visp3/core/vpConfig.h>
#include <visp3/core/vpUniRand.h>

class VISP_EXPORT vpGaussRand
{
private:
  double gaussianDraw();

  vpUniRand m_rng;
  double m_mean;
  double m_sigma;
  bool m_AlreadyDone;
  double m_x2;

public:
  vpGaussRand() : m_rng(), m_mean(0), m_sigma(0), m_AlreadyDone(false), m_x2(0) {}

  vpGaussRand(double sigma_val, double mean_val, long noise_seed = 0)
    : m_rng(noise_seed), m_mean(mean_val), m_sigma(sigma_val), m_AlreadyDone(false), m_x2(0)
  {
  }

  void setSigmaMean(double sigma_val, double mean_val)
  {
    m_mean = mean_val;
    m_sigma = sigma_val;
  }

  void seed(long seed_val) { m_rng.setSeed(seed_val, 0x123465789ULL); }

  double operator()() { return m_sigma * gaussianDraw() + m_mean; }
};

#endif