NOISE

NOISE - noise generator

Usage:

NOISE TYPE A B

Inputs:

TYPE	type selection
A	minimum or average
B	maximum or standard deviation

Outputs:

Y	generated samples or white noise

Function:

This atom implements a sample generator for pseudo-random numbers (white noise) with linear or Gaussian distribution. An internal variable is used to set a unique starting number for each generator. To allow parameter modifications during signal generation, the inputs A and B can be changed for each generated sample.

Table 17: Noise generator parameters{| |- | | | | |- |value of TYPE |parameters |description |- |A |B |- |0 or LINEAR |minimum |maximum |Generate linear distributed random samples in the interval A..B. The value of A must be less than B. |- |1 or GAUSS |average |deviation |Generate Gaussian distributed random numbers with average A and deviation B (>0). |}