## Grey noise

Purpose

Description

Macro Synopsis

Modules

Related Functions

### Purpose

Generate a grey noise signal

### Description

"Grey noise" generates a grey noise signal as an
Ornstein-Uhlenbeck process. Grey noise is a special case of coloured
noise with a spectral maximum at the frequency 0.
Its parameters are

- length N (in samples) and
- correlation time c,

which denotes the relaxation time in the Autocorrelation function of the grey noise signal.
The algorithm is based on the Langevin equation for an Ornstein-Uhlenbeck process with additive white noise.

### Macro Synopsis

`y = GreyNoise(N,c);`

signal y;

int N;

float c;

### Modules

Student, Professional

### Related Functions

Fractal noise, Gaussian noise,
Poisson noise, Uniform noise.