Random Signals in Communications and Signal Processing

Catalog description

Introduction to models for random signals in discrete and continuous time; Markov chains, Poisson process, queuing processes, power spectral densities, Gaussian random process. Response of linear systems to random signals. Elements of estimation and inference as they arise in communications and digital signal processing systems. Extra homework problems, team homework disallowed, higher expectations for mini-projects.