Classes | |
class | itpp::Random_Generator |
Base class for random (stochastic) sources.
The Random_Generator class is based on the MersenneTwister MTRand class code in version 1.0 (15 May 2003) by Richard J. Wagner. See http://www-personal.engin.umich.edu/~wagnerr/MersenneTwister.html for details. More... | |
class | itpp::Bernoulli_RNG |
Bernoulli distribution. More... | |
class | itpp::I_Uniform_RNG |
Integer uniform distribution
Example: Generation of random uniformly distributed integers in the interval [0,10]. More... | |
class | itpp::Uniform_RNG |
Uniform distribution. More... | |
class | itpp::Exponential_RNG |
Exponential distribution. More... | |
class | itpp::Normal_RNG |
Normal distribution
Normal (Gaussian) random variables, using a simplified Ziggurat method. More... | |
class | itpp::Laplace_RNG |
Laplacian distribution. More... | |
class | itpp::Complex_Normal_RNG |
A Complex Normal Source. More... | |
class | itpp::AR1_Normal_RNG |
Filtered normal distribution. More... | |
class | itpp::Weibull_RNG |
Weibull distribution. More... | |
class | itpp::Rayleigh_RNG |
Rayleigh distribution. More... | |
class | itpp::Rice_RNG |
Rice distribution. More... | |
Typedefs | |
typedef Normal_RNG | itpp::Gauss_RNG |
Gauss_RNG is the same as Normal Source. | |
typedef AR1_Normal_RNG | itpp::AR1_Gauss_RNG |
AR1_Gauss_RNG is the same as AR1_Normal_RNG. | |
Functions | |
void | itpp::RNG_reset (unsigned int seed) |
Set the seed of the Global Random Number Generator. | |
void | itpp::RNG_reset () |
Set the seed of the Global Random Number Generator to the same as last reset/init. | |
void | itpp::RNG_randomize () |
Set a random seed for the Global Random Number Generator. | |
void | itpp::RNG_get_state (ivec &state) |
Save current full state of generator in memory. | |
void | itpp::RNG_set_state (ivec &state) |
Resume the state saved in memory. | |
bin | itpp::randb (void) |
Generates a random bit (equally likely 0s and 1s). | |
void | itpp::randb (int size, bvec &out) |
Generates a random bit vector (equally likely 0s and 1s). | |
bvec | itpp::randb (int size) |
Generates a random bit vector (equally likely 0s and 1s). | |
void | itpp::randb (int rows, int cols, bmat &out) |
Generates a random bit matrix (equally likely 0s and 1s). | |
bmat | itpp::randb (int rows, int cols) |
Generates a random bit matrix (equally likely 0s and 1s). | |
double | itpp::randu (void) |
Generates a random uniform (0,1) number. | |
void | itpp::randu (int size, vec &out) |
Generates a random uniform (0,1) vector. | |
vec | itpp::randu (int size) |
Generates a random uniform (0,1) vector. | |
void | itpp::randu (int rows, int cols, mat &out) |
Generates a random uniform (0,1) matrix. | |
mat | itpp::randu (int rows, int cols) |
Generates a random uniform (0,1) matrix. | |
int | itpp::randi (int low, int high) |
Generates a random integer in the interval [low,high]. | |
ivec | itpp::randi (int size, int low, int high) |
Generates a random ivec with elements in the interval [low,high]. | |
imat | itpp::randi (int rows, int cols, int low, int high) |
Generates a random imat with elements in the interval [low,high]. | |
vec | itpp::randray (int size, double sigma=1.0) |
Generates a random Rayleigh vector. | |
vec | itpp::randrice (int size, double sigma=1.0, double s=1.0) |
Generates a random Rice vector (See J.G. Poakis, "Digital Communications, 3rd ed." p.47). | |
vec | itpp::randexp (int size, double lambda=1.0) |
Generates a random complex Gaussian vector. | |
double | itpp::randn (void) |
Generates a random Gaussian (0,1) variable. | |
void | itpp::randn (int size, vec &out) |
Generates a random Gaussian (0,1) vector. | |
vec | itpp::randn (int size) |
Generates a random Gaussian (0,1) vector. | |
void | itpp::randn (int rows, int cols, mat &out) |
Generates a random Gaussian (0,1) matrix. | |
mat | itpp::randn (int rows, int cols) |
Generates a random Gaussian (0,1) matrix. | |
std::complex< double > | itpp::randn_c (void) |
Generates a random complex Gaussian (0,1) variable. | |
void | itpp::randn_c (int size, cvec &out) |
Generates a random complex Gaussian (0,1) vector. | |
cvec | itpp::randn_c (int size) |
Generates a random complex Gaussian (0,1) vector. | |
void | itpp::randn_c (int rows, int cols, cmat &out) |
Generates a random complex Gaussian (0,1) matrix. | |
cmat | itpp::randn_c (int rows, int cols) |
Generates a random complex Gaussian (0,1) matrix. |
std::complex<double> itpp::randn_c | ( | void | ) | [inline] |
Generates a random complex Gaussian (0,1) variable.
The real and imaginary parts are independent and have variances equal to 0.5
Definition at line 829 of file random.h.
References itpp::Complex_Normal_RNG::sample().
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