Random Signals and Noise
3 Credit Hours
Introduces time and frequency domain characterization of stochastic processes as the mathematical model of random signals. Using Gaussian noise as an example, introduce the description of moment. Provides analysis of the interaction between random signal/noise and deterministic systems, especially filters, with Poisson process as an example.