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