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Nov 22, 2024
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ECNG 625/6235 - Detection, Classification, and Estimation Theory (3 cr.)
Prerequisites
Description
Bayesian parameter estimation; linear least squares Estimation; Cramer-Rao lower bound; minimum variance unbiased estimator (MVUE); maximum likelihood estimation (MLE); Kalman filtering; statistical decision theory: Bayes, min-max, Neyman/Pearson, simple and composite hypotheses; optimum (map) demodulation; application to coherent communications, signal processing, and classification including coherent and non-coherent signal detection; M-ary hypotheses testing.
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