[3]Statistical inference. Point and interval estimation. State-space estimation. Elements of large- and small-sample theory. Array processing. Multi-channel signal processing. Reduced rank methods. Optimal and suboptimal multi-user detection. Low-complexity maximum likelihood detection. Iterative detection and its theoretical foundations. The relationship between statistical inference, statistical mechanics and information theory. Prerequisite: Prerequisites: ENEE 620 and ENEE 621 or consent of instructor.
