| |
Dec 04, 2024
|
|
|
|
|
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.
Check course scheduling information
Add to Portfolio (opens a new window)
|
|
