Æ»¹ûÒùÔº

ECSE 621 Statistic Detection and Estimation (4 credits)

important

Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .

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: Winter 2019

Instructors: Leib, Harry (Winter)

Back to top