Signals, Systems and Random Processes
Course schedule: TTh 1:30-2:50 at TTI Room #526 (6045 S. Kenwood Ave)
Course textbook: None (selected readings will be provided)
Instructor: Karen Livescu
Guest instructor: Anand Sarwate
Prerequisites: Probability, linear algebra
Course catalog description:
Introduction to analysis of signals and linear time-invariant systems at a graduate level. Topics include: Continuous and discrete-time transforms (Fourier and others); linear filtering; sampling and aliasing; random processes and their interaction with linear systems; applications in areas such as speech and image processing and robotics.