ECE 275B. Parameter Estimation II (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/ECE.html#ece275b
Description
The Bayesian statistical framework; Parameter and state estimation of Hidden Markov Models, including Kalman Filtering and the Viterbi and Baum-Welsh algorithms. A solid foundation is provided for follow-up courses in Bayesian machine learning theory. Recommended preparation: ECE 153. Prerequisites: graduate standing.
Prerequisite courses
ECE 275B has no prerequisite courses.
Successor courses
No courses have ECE 275B as a prerequisite.