Number Generator Blocks

UserCDF_RanGen



File: general_blocks/Generators/UserCDF_RanGen.sim
Description
The model generates a random value according to the specified cumulative distribution function (CDF).
The CDF is specified as a set of points in the named file.
Ports
Input Ports
Output Ports
Parameters

UniformRangenParam


File: general_blocks/Generators/UniformRangenParam.sim
Description
The model generates random numbers uniformly distribution between lower_bound and upper_bound.
Ports
Input Ports
Output Ports
Parameters

UniformRangen


File: general_blocks/Generators/UniformRangen.sim
Description
The model generates numbers distributed uniformly between lower and upper.
When both inputs are available a random number will be generated and placed on the port out.
Ports
Input Ports
Output Ports
Parameters

U_0_to_1_RanGen


File: general_blocks/Generators/U_0_1_RanGen.sim
Description
The model provides random numbers with a uniform distribution between 0 and 1 {U(0,1)}.
Ports
Input Ports
Output Ports
Parameters

TStop


File: general_blocks/Generators/TStop.sim
Description
After the trigger input has been received, the model places the value of
the simulation parameter TStop on the port out.
Ports
Input Ports
Output Ports
Parameters

TNow


File: general_blocks/Generators/TNow.sim
Description
The model places the value of the simulation clock on the out port.
The model executes and output every time the trigger input is enabled.
Ports
Input Ports
Output Ports
Parameters

Rconst


File: general_blocks/Generators/RConst.sim
Description
The model generates a Real constant specified by the parameter Rconstant and places it on the out port.
Ports
Input Ports
Output Ports
Parameters

PoissonRangenParam


File: general_blocks/Generators/PoissonRangenParam.sim
Description
Every time the input trigger is enabled, a random number will be generated
from the Poisson distribution and will be placed on the output Nevents.
Ports
Input Ports
Output Ports
Parameters

PoissonRangen


File: general_blocks/Generators/Poisson.sim
Description
Every time the input lambda is enabled, a random number will be generated
from the Poisson distribution and will be placed on the output Nevents.
Ports
Input Ports
Output Ports
Parameters

NormalRangenParam


File: general_blocks/Generators/NormalRangenParam.sim
Description
The model generates Gaussion (Normal) random variates,
with specified Mean and Variance.
Ports
Input Ports
Output Ports
Parameters

NormalRangen


File: general_blocks/Generators/NormalRangen.sim
Description
The model generates Gaussion (Normal) random variates,
with specified Mean and Variance.
Ports
Input Ports
Output Ports
Parameters

N01_Rangen


File: general_blocks/Generators/N01_Rangen.sim
Description
The model generates Gaussion (Normal) random variates,
with Mean and Variance of 1.0.
Ports
Input Ports
Output Ports
Parameters

IU_Parem


File: general_blocks/Generators/IU_Parem.sim
Description
Random number generator for Integer where the range is a parameter of the module.
Ports
Input Ports
Output Ports
Parameters

IU_NE_C


File: general_blocks/Generators/IU_NE_C.sim
Description
Random number generator for Integer which will not generate a value equal to C
( a constant parameter named value_to_reject ). The model generates an integer
number from a uniform distribution. The model executes when the upperlimit input
is enabled with an Integer. Then, a random number value will be chosen in the
range (0, upperlimit). If the random number equals value_to_reject , then another
random number will be generated before placing the random number on out .
Ports
Input Ports
Output Ports
Parameters

IU_MinMax_Param


File: general_blocks/Generators/IU_MinMax_Param.sim
Description
Random number generator for Integers. The model generates
an integer number from a uniform distribution. The model executes
when input gets enabled. Then, a random Integer value will be
chosen between parameters min and max, inclusive.
Ports
Input Ports
Output Ports
Parameters

IU_MinMax


File: general_blocks/Generators/IU_MinMax.sim
Description
Random number generator for Integers. The model generates
an integer number from a uniform distribution. The model executes
when both inputs are enabled. Then, a random Integer value will be
chosen between min and max, inclusive.
Ports
Input Ports
Output Ports
Parameters

IU


File: general_blocks/Generators/IU.sim
Description
Random number generator of Integers.
Ports
Input Ports
Output Ports
Parameters

Iconst


File: general_blocks/Generators/IConst.sim
Description
The model generates a constant integer specified by the model parameter IntConstant and places it on the out port. The model will not be enabled unless the trigger input has been received.
Ports
Input Ports
Output Ports
Parameters

GammaRangenParam


File: general_blocks/Generators/GammaRangenParam.sim
Description
Generates Gamma random variates, with specified shape and scale.
Ports
Input Ports
Output Ports
Parameters

GammaRangen


File: general_blocks/Generators/GammaRangen.sim
Description
Generates Gamma random variates, with specified shape and scale.
Ports
Input Ports
Output Ports
Parameters

ExponRanGenParam


File: general_blocks/Generators/ExponRangenParam.sim
Description
The model generates random numbers with an exponential distribution.
Exponentially distributed random numbers model the times between
events when the processing that generates the events is memory less.
Ports
Input Ports
Output Ports
Parameters

ExponRanGen


File: general_blocks/Generators/ExponRangen.sim
Description
The model generates random numbers with an exponential distribution with a
mean determined by the signal input. The exponential distribution is used to
model the time between random events from a memory less source.
Ports
Input Ports
Output Ports
Parameters

BinomialRangenParam


File: general_blocks/Generators/BinomialRangenParam.sim
Description
The model  is a generator for binomial random numbers with the parameters
of the distribution as parameters. The binomial distribution is the distribution of
the number of successful outcomes resulting from Ntrials of an experiment where
each trial had probability EventProbability of success.
Ports
Input Ports
Output Ports
Parameters

BinomialRangen


File: general_blocks/Generators/BinomialRangen.sim
Description
The model generates the number of successes of Ntrials of an event where each
trial has a probability of success of EventProbability. When they are both enabled
the random number will be generated and placed on the out port.
Ports
Input Ports
Output Ports
Parameters