Generate Poisson-distributed random integers
Random Data Sources sublibrary of Comm Sources
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.
The output signal can be a frame-based matrix, a sample-based row or column vector, or a sample-based one-dimensional array. These attributes are controlled by the Frame-based outputs, Samples per frame, and Interpret vector parameters as 1-D parameters. See Sources and Sinks in Communications System Toolbox™ User's Guide for more details.
The number of elements in the Initial seed parameter becomes the number of columns in a frame-based output or the number of elements in a sample-based vector output. Also, the shape (row or column) of the Initial seed parameter becomes the shape of a sample-based two-dimensional output signal.
The Poisson parameter λ. If it is a scalar, then every element in the output vector shares the same Poisson parameter.
The initial seed value for the random number generator.
The period of each sample-based vector or each row of a frame-based matrix.
Determines whether the output is frame-based or sample-based. This box is active only if Interpret vector parameters as 1-D is unchecked.
The number of samples in each column of a frame-based output signal. This field is active only if Frame-based outputs is checked.
If this box is checked, then the output is a one-dimensional signal. Otherwise, the output is a two-dimensional signal. This box is active only if Frame-based outputs is unchecked.
The output type of the block can be specified as a
uint32. By default, the block sets this to