DATAMANIP commands
PROGRAM NAME
kggauss - Generate Gaussian Noise Data
DESCRIPTION
kggauss generates Gaussian noise of the specified parameters in the
output data object (-o). The mean (-gmean) and variance (-gvar) must be
specified for the Gaussian distribution to be generated.
The size of all five dimensions of the object can be specified. The data type
of the output object can also be specified. kggauss can also generate
complex valued Gaussian noise data.
REQUIRED ARGUMENTS
- -o
-
type: outfile
desc: Output file containing noise data
OPTIONAL ARGUMENTS
- -wsize
-
type: integer
desc: Width size of noise value data
default: 512
bounds: value > 0
- -hsize
-
type: integer
desc: Height size of noise value data
default: 512
bounds: value > 0
- -dsize
-
type: integer
desc: Depth size of noise value data
default: 1
bounds: value > 0
- -tsize
-
type: integer
desc: Time size of noise value data
default: 1
bounds: value > 0
- -esize
-
type: integer
desc: Element dimension size of noise data
default: 1
bounds: value > 0
- -gmean
-
type: double
desc: Mean for Gaussian noise
default: 0
bounds: no range checking
- -gvar
-
type: double
desc: Variance for Gaussian noise
default: 1
bounds: value > 0.0
- -type
-
type: list
desc: Data type of noise value data
default: 10 "float"
EXAMPLES
SEE ALSO
DATAMANIP::kgnoise, DATAMANIP::kgexpon, DATAMANIP::kgpoisson,
DATAMANIP::kgrayleigh, DATAMANIP::kguniform
RESTRICTIONS
REFERENCES
COPYRIGHT
Copyright (C) 1993 - 1997, Khoral Research, Inc. ("KRI") All rights reserved.