ENEE621

Estimation and Detection Theory

Reviews for this course Testudo

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.

Spring 2024

Armand Makowski

9 reviews
Average rating: 1.56

Spring 2023

Sanghamitra Dutta

1 review
Average rating: 5.00

Past Semesters

Richard La

12 reviews
Average rating: 2.83

Prakash Narayan

5 reviews
Average rating: 4.20

Anthony Ephremides

7 reviews
Average rating: 2.43

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.