Signal processing: where physics and mathematics meet

Much of the statistical signal processing developed in the 20th century falls under the umbrella of classical signal processing, which rests on two basic stochastic assumptions: Stationarity; Gaussianity. The use of these two assumptions is justified on the following grounds: The first- and second-order statistics, inherent to the full characterization of a Gaussian model, are of fundamental interest in their own individual ways.