# GaussNoise

Advanced Analysis Library Only

AnalysisLibErrType GaussNoise (int numberOfElements, double sDeviation, int seed, double GaussianNoise[]);

## Purpose

Generates an array of random Gaussian numbers distributed with expected zero mean value and the standard deviation you specify.

### Example

/* 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);

## Parameters

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 0, GaussNoise generates a new random sequence using the seed value. When seed < 0, the previously generated random sequence continues.
Output
Name | Type | Description
GaussianNoise | double-precision array | Generated Gaussian noise pattern.

## Return Value

Name | Type | Description
status | AnalysisLibErrType | A value that specifies the type of error that occurred. Refer to analysis.h for definitions of these constants.