EE 3393 - Probability and Random Signals

Sem. Hrs: 3

Application of probabilistic models and analysis techniques to engineering signals and systems with inherent randomness. Topics include probability theory, probability density functions, random variables, random vectors, estimation, detection, discrete and continuous processes, and power spectra. Spring.

Prerequisites: C or better in EE 3353.