Bayesian hypothesis testing model, likelihood ratio test (LRT), minimax test, Neyman-Pearson test, receiver operating characteristic (ROC), Bayesian estimation, linear least-squares (LS) estimation; maximum-likelihood (ML) estimation, composite hypothesis testing, introduction to signal detection. Prerequisite: ECE 502 or equivalent.
| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
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LECTURE B1
(84135) |
25 |
2027-01-04 - 2027-04-09 (TR)
13:00 - 14:20
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Primary Instructor: Chintha Tellambura
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