ECSE 621 Stat. Detection and Estimation (4 credits)

Note: This is the 20132014 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Electrical & Computer Engr (Faculty of Engineering)

Administered by: Graduate Studies

Overview

Electrical Engineering : Statistical detection and estimation lies at the intersection of telecommunications, signal processing and mathematical statistics. Subjects include: hypothesis testing (Neyman-Pearson, Bayes, minimax, nuisance parameters, composite hypotheses, generalized likelihood), estimation theory (maximum-likelihood, maximum aposteriory probability, linear estimation, Cramer-Rao bounds).

Terms: This course is not scheduled for the 2013-2014 academic year.

Instructors: There are no professors associated with this course for the 2013-2014 academic year.