blob: 70156f5e3d89289b339be51661368fb1afc2e4c7 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
|
/* -*- c++ -*- */
/*
* Copyright 2002, 2015 Free Software Foundation, Inc.
*
* This file is part of GNU Radio
*
* SPDX-License-Identifier: GPL-3.0-or-later
*
*/
#ifndef INCLUDED_GR_RANDOM_H
#define INCLUDED_GR_RANDOM_H
#include <gnuradio/api.h>
#include <gnuradio/gr_complex.h>
#include <stdlib.h>
#include <ctime>
#include <random>
namespace gr {
/*!
* \brief pseudo random number generator
* \ingroup math_blk
*/
class GR_RUNTIME_API random
{
protected:
long d_seed;
bool d_gauss_stored;
float d_gauss_value;
std::mt19937 d_rng; // mersenne twister as random number generator
std::uniform_real_distribution<float>
d_uniform; // choose uniform distribution, default is [0,1)
std::uniform_int_distribution<> d_integer_dis;
public:
random(unsigned int seed = 0, int min_integer = 0, int max_integer = 2);
~random();
/*!
* \brief Change the seed for the initialized number generator. seed = 0 initializes
* the random number generator with the system time. Note that a fast initialization
* of various instances can result in the same seed.
*/
void reseed(unsigned int seed);
/*!
* set minimum and maximum for integer random number generator.
* Limits are [minimum, maximum)
* Default: [0, std::numeric_limits< IntType >::max)]
*/
void set_integer_limits(const int minimum, const int maximum);
/*!
* Uniform random integers in the range set by 'set_integer_limits' [min, max).
*/
int ran_int();
/*!
* \brief Uniform random numbers in the range [0.0, 1.0)
*/
float ran1();
/*!
* \brief Normally distributed random numbers (Gaussian distribution with zero mean
* and variance 1)
*/
float gasdev();
/*!
* \brief Laplacian distributed random numbers with zero mean and variance 1
*/
float laplacian();
/*!
* \brief Rayleigh distributed random numbers (zero mean and variance 1 for the
* underlying Gaussian distributions)
*/
float rayleigh();
/*!
* \brief Exponentially distributed random numbers with values less than or equal
* to factor replaced with zero. The underlying exponential distribution has
* mean sqrt(2) and variance 2.
*/
float impulse(float factor);
/*!
* \brief Normally distributed random numbers with zero mean and variance 1 on real
* and imaginary part. This results in a Rayleigh distribution for the amplitude and
* an uniform distribution for the phase.
*/
gr_complex rayleigh_complex();
};
} /* namespace gr */
#endif /* INCLUDED_GR_RANDOM_H */
|