ELEG 636 - Statistical Signal Processing (3cr.)

Credit(s): 3

STATISTICAL SIGNAL PROCESSING
Component: Lecture
Introduction to random vectors and random processes and second-order moment and spectral characterizations. Linear transformations of stationary processes. Parameter estimation. Orthogonality principle and optimal linear filtering. Levison recursion and lattice prediction filters. AR and ARMA models and their Yule-Walker characterizations. Classical and modern spectrum estimation.
Allowed Units: 3 Grading Basis: Student Option
PREREQ: Undergraduate courses in probability and signals and linear systems

Course Typically Offered: Spring