EE 606 Probability and Stochastic Processes II
Introduction and review of probability as a measure, measure theoretic notions of random variables and stochastic processes, discrete time and continuous time Markov chains, renewal processes, delayed renewal processes, convergence of random sequences, martingale processes, stationarity and ergodicity. Applications of these topics with examples from networked communications, wireless communications, statistical signal processing and game theory.
Distribution
Electrical Engineering Program