Credits: 3

Description

Prerequisite: ENEE620; or students who have taken courses with comparable content may contact the department.
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.

Semesters Offered

Spring 2018, Spring 2019, Spring 2020