Visual Servoing Platform  version 3.3.0 under development (2020-02-17)
vpGaussRand.h
1 /****************************************************************************
2  *
3  * ViSP, open source Visual Servoing Platform software.
4  * Copyright (C) 2005 - 2019 by Inria. All rights reserved.
5  *
6  * This software is free software; you can redistribute it and/or modify
7  * it under the terms of the GNU General Public License as published by
8  * the Free Software Foundation; either version 2 of the License, or
9  * (at your option) any later version.
10  * See the file LICENSE.txt at the root directory of this source
11  * distribution for additional information about the GNU GPL.
12  *
13  * For using ViSP with software that can not be combined with the GNU
14  * GPL, please contact Inria about acquiring a ViSP Professional
15  * Edition License.
16  *
17  * See http://visp.inria.fr for more information.
18  *
19  * This software was developed at:
20  * Inria Rennes - Bretagne Atlantique
21  * Campus Universitaire de Beaulieu
22  * 35042 Rennes Cedex
23  * France
24  *
25  * If you have questions regarding the use of this file, please contact
26  * Inria at visp@inria.fr
27  *
28  * This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
29  * WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
30  *
31  * Description:
32  * Generation of random number with uniform and normal probability density.
33  *
34  * Authors:
35  * Eric Marchand
36  *
37  *****************************************************************************/
38 
39 #ifndef vpGaussRand_hh
40 #define vpGaussRand_hh
41 
42 #include <visp3/core/vpConfig.h>
43 #include <visp3/core/vpUniRand.h>
44 
120 class VISP_EXPORT vpGaussRand
121 {
122 private:
123  double gaussianDraw();
124 
125  vpUniRand m_rng;
126  double m_mean;
127  double m_sigma;
128  bool m_AlreadyDone;
129  double m_x2;
130 
131 public:
135  vpGaussRand() : m_rng(), m_mean(0), m_sigma(0), m_AlreadyDone(false), m_x2(0) {}
136 
144  vpGaussRand(double sigma_val, double mean_val, long noise_seed = 0)
145  : m_rng(noise_seed), m_mean(mean_val), m_sigma(sigma_val), m_AlreadyDone(false), m_x2(0)
146  {
147  }
148 
155  void setSigmaMean(double sigma_val, double mean_val)
156  {
157  m_mean = mean_val;
158  m_sigma = sigma_val;
159  }
160 
166  void seed(long seed_val) { m_rng.setSeed(seed_val, 0x123465789ULL); }
167 
171  double operator()() { return m_sigma * gaussianDraw() + m_mean; }
172 };
173 
174 #endif
void seed(long seed_val)
Definition: vpGaussRand.h:166
void setSeed(uint64_t initstate, uint64_t initseq)
Definition: vpUniRand.cpp:212
double operator()()
Definition: vpGaussRand.h:171
void setSigmaMean(double sigma_val, double mean_val)
Definition: vpGaussRand.h:155
vpGaussRand(double sigma_val, double mean_val, long noise_seed=0)
Definition: vpGaussRand.h:144
Class for generating random number with normal probability density.
Definition: vpGaussRand.h:120
Class for generating random numbers with uniform probability density.
Definition: vpUniRand.h:100