We present an overview of common methods for modelling a signal contaminated by noise. Specifically discussed are the structure imposed on a model, the properties the noise assumed, some common statistical distributions for the noise and the Signal-to-Noise ratio as an indicator of the quality of the contaminated signal.Thanks to Department of Statistics, Statomet and SARChI at the
University of Pretoria for funding.http://www.sastat.org.za/journal.htmam201
