Advanced Analysis Library Only
AnalysisLibErrType GaussNoise (int numberOfElements, double sDeviation, int seed, double GaussianNoise[]);
Generates an array of random Gaussian numbers distributed with expected zero mean value and the standard deviation you specify.
/* The following code generates an array of random Gaussian distributed
numbers. */
double x[20], sDev;
int n;
n = 20;
sDev = 5.0;
GaussNoise (n, sDev, 17, x);
Input | ||
Name | Type | Description |
numberOfElements | integer | Number of elements to generate in the Gaussian noise pattern. |
sDeviation | double-precision | Standard deviation of the Gaussian noise pattern. Default Value: 1.0. |
seed | integer | Initial seed value. When seed ![]() |
Output | ||
Name | Type | Description |
GaussianNoise | double-precision array | Generated Gaussian noise pattern. |
Name | Type | Description |
status | AnalysisLibErrType | A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants. |