EE 520 Random Processes
Review of probability, random variables, and expectation followed by a study of the principles and properties of random sequences and random processes. Topics include random vectors, fundamentals of estimation, modeling random sequences with linear systems, stationarity, Markov random sequences, and common random process models.
Prerequisite
Stat 351 and ECE 316, graduate standing or permission of instructor.