ENEE 621
Estimation and Detection Theory
Estimation of unknown parameters, Cramer-Rao lower bound; optimum (map) demodulation; filtering, amplitude and angle modulation, comparison with conventional systems; statistical decision theory Bayes, minimax, Neyman/Pearson, Criteria-68 simple and composite hypotheses; application to coherent and incoherent signal detection; M-ary hypotheses; application to uncoded and coded digital communication systems.
Prerequisites & course information
Additional Information: Completing ENEE620 is strongly recommended before taking this course.
Sources
- Course catalogue ↗2026-2027