Poisson Integer Generator
Generate Poisson-distributed random integers
Library
Random Data Sources sublibrary of Comm Sources
Description
The Poisson Integer Generator block generates random integers using a Poisson distribution. The probability of generating a nonnegative integer k is
where λ is a positive number known as the Poisson parameter.
You can use the Poisson Integer Generator to generate noise in a binary transmission channel. In this case, the Poisson parameter Lambda should be less than 1, usually much less.
Attributes of Output Signal
The output signal can be a column or row vector, a two-dimensional matrix, or a scalar. The number of rows in the output signal corresponds to the number of samples in one frame and is determined by the Samples per frame parameter. The number of columns in the output signal corresponds to the number of channels and is determined by the number of elements in the Lambda parameter. See Sources and Sinks in Communications Toolbox™ User's Guide for more details.
Parameters
- Lambda
The Poisson parameter λ. Specify λ as a scalar or row vector whose elements are real numbers. If Lambda is a scalar, then every element in the output vector shares the same Poisson parameter. If Lambda is a row vector, then the number of elements correspond to the number of independent channels output from the block.
- Source of initial seed
The source of the initial seed for the random number generator. Specify the source as either
AutoorParameter. When set toAuto, the block uses the global random number stream.Note
When Source of initial seed is
AutoinCode generationmode, the random number generator uses an initial seed of zero. Therefore, the block generates the same random numbers each time it is started. UseInterpreted executionto ensure that the model uses different initial seeds. IfInterpreted executionis run inRapid acceleratormode, then it behaves the same asCode generationmode.- Initial seed
The initial seed value for the random number generator. Specify the seed as a nonnegative integer scalar. Initial seed is available when the Source of initial seed parameter is set to
Parameter.- Sample time
Output sample time, specified as
-1or a positive scalar that represents the time between each sample of the output signal. If Sample time is set to-1, the sample time is inherited from downstream. For information on the relationship between Sample time and Samples per frame, see Sample Timing.- Samples per frame
Samples per frame, specified as a positive integer indicating the number of samples per frame in one channel of the output data. For information on the relationship between Sample time and Samples per frame, see Sample Timing.
- Output data type
The output type of the block can be specified as a
boolean,uint8,uint16,uint32,single, ordouble. The default isdouble.- Simulate using
Select the simulation mode.
Code generationOn the first model run, simulate and generate code. If the structure of the block does not change, subsequent model runs do not regenerate the code.
If the simulation mode is
Code generation, System objects corresponding to the blocks accept a maximum of nine inputs.Interpreted executionSimulate model without generating code. This option results in faster start times but can slow subsequent simulation performance.