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ECSE 621 Statistic Detection and Estimation (4 credits)

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 2021-2022 academic year.

Instructors: There are no professors associated with this course for the 2021-2022 academic year.

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