container : Array, predefined Array for holding results

seed : nonnegint, seed for the pseudo-random number generator

The GenerateGaussian( n, mean, stddev, seed ) command generates n floating-point samples for a random signal with a Gaussian distribution of mean mean and with standard deviation stddev. The results are returned in an Array with datatype float[8].

If the container=C option is provided, then the results are put into C and C is returned. With this option, no additional memory is allocated to store the result. The container must be an Array of size n having datatype float[8].

If the seed option is provided, the given value is used as the seed for the pseudo-random number generator.

The SignalProcessing[GenerateGaussian] command is thread-safe as of Maple 17.

For more information on thread safety, see index/threadsafe.

$\mathrm{with}\left(\mathrm{SignalProcessing}\right)\:$

$\mathrm{GenerateGaussian}\left(10\,0\,0.3\right)$

$\left[\begin{array}{cccccccccc}0.0495371873412778& \mathrm{-0.0661056974613580}& 0.354875385184700& \mathrm{-1.01149036815707}& 0.288902907818719& \mathrm{-0.0812277011513979}& 0.587902082619430& 0.384853190715909& 0.0884179640720818& \mathrm{-0.105533578711073}\end{array}\right]$

$c≔\mathrm{Array}\left(1..10\,'\mathrm{datatype}'='\mathrm{float}'\left[8\right]\,'\mathrm{order}'='\mathrm{C\_order}'\right)\:$

$\mathrm{GenerateGaussian}\left(10\,0\,0.3\,'\mathrm{container}'=c\right)$

$\left[\begin{array}{cccccccccc}0.193439942966889& 0.432921279364537& \mathrm{-0.00923099297881528}& \mathrm{-0.0525675926804104}& \mathrm{-0.283722360626314}& \mathrm{-0.254513167668317}& \mathrm{-0.278375701180696}& 0.0309625011601372& \mathrm{-0.262806836671325}& 0.350352787464030\end{array}\right]$

$c$

$\left[\begin{array}{cccccccccc}0.193439942966889& 0.432921279364537& \mathrm{-0.00923099297881528}& \mathrm{-0.0525675926804104}& \mathrm{-0.283722360626314}& \mathrm{-0.254513167668317}& \mathrm{-0.278375701180696}& 0.0309625011601372& \mathrm{-0.262806836671325}& 0.350352787464030\end{array}\right]$

$\mathrm{SignalPlot}\left(c\right)$

The SignalProcessing[GenerateGaussian] command was introduced in Maple 17.

For more information on Maple 17 changes, see Updates in Maple 17.