Algorithms Index
Gaussian
Authors : Ian Taylor, Bernard Schutz
Input Types :
GraphType,
Const
Output Types : GraphType,
Const
Version: 2.0
Date : 20 June 2000
Contents
Description of Gaussian
The unit called Gaussian adds normally distributed random numbers to an
input data set. The input set can be a GraphType or Const data set. The
output is the same type as the input. Random numbers are added to every
dependent data set that is of arithmetic type. If the set is complex, random
numbers are added to both the real and imaginary parts. Any non-arithmetic
data is passed through to the output.
The random numbers are normally distributed with a mean and standard
deviation that are set by the user in the parameter window. The default
mean is 0.0, and the default standard deviation is 1.0. The random numbers
are calculated by Java's Random class.
The random numbers are added to the input data set. A user who wants
a purely random set of numbers can use the Unit Wave
with the Intensity parameter set to 0.0 to generate a sequence of zeros
as input to RandNoise.
Using Gaussian
Users should open the parameter window to set the mean and standard deviation
of the random numbers. These may be set by moving the sliders or typing
numbers in the data-entry box. The parameter window is shown here:
