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.
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.
