  In this paper we consider the generation of discrete white noise. Despite
this seems to be a simple problem, common noise generator implementations do
not deliver comparable results at different sampling rates. First we define
what we mean with "comparable results". From this we conclude, that the
variance of the random variables shall grow proportionally to the sampling
rate. Eventually we consider how noise behaves under common signal
transformations, such as frequency filters, quantisation and impulse generation
and we explore how these signal transformations must be designed in order
generate sampling-rate-aware results when applied to white noise.
