ECEN 5612 - Noise and Random Processes

Timothy X Brown, Fall 2008

What is this course about?
Probility theory enables you to model real-world complexity in an efficient and useful form. Random processes takes standard univariate and multivariate probability theory and extends it to random functions. This provides a basis for modeling complex signals and noise. In this course we will review probability theory and extend it to random processes including both discrete-time, continuous-time, and event processes. Applications to communication systems, queueing theory, and Markov chains will be discussed.

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© 2008, T.X Brown