gr::random Class Reference

pseudo random number generator More...

#include <gnuradio/random.h>

Public Member Functions
	random (uint64_t seed=0, int64_t min_integer=0, int64_t max_integer=2)
	~random ()
void	reseed (uint64_t seed)
	Change the seed for the initialized number generator. seed = 0 initializes the random number generator with the system time.
void	set_integer_limits (int64_t minimum, int64_t maximum)
int64_t	ran_int ()
float	ran1 ()
	Uniform random numbers in the range [0.0, 1.0)
float	gasdev ()
	Normally distributed random numbers (Gaussian distribution with zero mean and variance 1)
float	laplacian ()
	Laplacian distributed random numbers with zero mean and variance 1.
float	rayleigh ()
	Rayleigh distributed random numbers (zero mean and variance 1 for the underlying Gaussian distributions)
float	impulse (float factor)
	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.
gr_complex	rayleigh_complex ()
	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.

Protected Attributes
long	d_seed
bool	d_gauss_stored
float	d_gauss_value
xoroshiro128p_prng	d_rng
std::uniform_real_distribution< float >	d_uniform
std::uniform_int_distribution< int64_t >	d_integer_dis

Detailed Description

pseudo random number generator

Constructor & Destructor Documentation

random()

gr::random::random	(	uint64_t	seed = 0,
		int64_t	min_integer = 0,
		int64_t	max_integer = 2
	)

~random()

gr::random::~random

(

)

Member Function Documentation

gasdev()

float gr::random::gasdev

(

)

Normally distributed random numbers (Gaussian distribution with zero mean and variance 1)

impulse()

float gr::random::impulse

(

float

factor

)

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.

laplacian()

float gr::random::laplacian

(

)

Laplacian distributed random numbers with zero mean and variance 1.

ran1()

float gr::random::ran1

(

)

Uniform random numbers in the range [0.0, 1.0)

ran_int()

int64_t gr::random::ran_int

(

)

Uniform random integers in the range set by 'set_integer_limits' [min, max).

rayleigh()

float gr::random::rayleigh

(

)

Rayleigh distributed random numbers (zero mean and variance 1 for the underlying Gaussian distributions)

rayleigh_complex()

gr_complex gr::random::rayleigh_complex

(

)

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.

reseed()

void gr::random::reseed

(

uint64_t

seed

)

Change the seed for the initialized number generator. seed = 0 initializes the random number generator with the system time.

set_integer_limits()

void gr::random::set_integer_limits	(	int64_t	minimum,
		int64_t	maximum
	)

set minimum and maximum for integer random number generator. Limits are [minimum, maximum) Default: [0, std::numeric_limits< IntType >::max)]

Member Data Documentation

d_gauss_stored

bool gr::random::d_gauss_stored

protected

d_gauss_value

float gr::random::d_gauss_value

protected

d_integer_dis

std::uniform_int_distribution<int64_t> gr::random::d_integer_dis

protected

d_rng

xoroshiro128p_prng gr::random::d_rng

protected

d_seed

long gr::random::d_seed

protected

d_uniform

std::uniform_real_distribution<float> gr::random::d_uniform

protected

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The documentation for this class was generated from the following file:

• random.h