## 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.

**Honor Code**
By signing up for this course, you are agreeing to be bound by the University Honor
Code. Reread the code now. If you do not agree or do not understand
any aspect of this code, discuss this with me now.

*© 2008, T.X Brown*