ENEE621

Estimation and Detection Theory

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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 2026

Sanghamitra Dutta

0 reviews
Average rating: N/A

Thomas Marzetta

0 reviews
Average rating: N/A

Spring 2025

Sanghamitra Dutta

0 reviews
Average rating: N/A

Past Semesters

Armand Makowski

1 review
Average rating: 4.00

Sanghamitra Dutta

0 reviews
Average rating: N/A

Prakash Narayan

0 reviews
Average rating: N/A

Richard La

0 reviews
Average rating: N/A

Anthony Ephremides

1 review
Average rating: 4.00

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.23 between 285 students*

ENEE621 Grade Distribution+-051015202530354045% of studentsABCDFWother
A-: 3.86%
A: 27.72%
A+: 10.53%
B-: 5.26%
B: 17.54%
B+: 12.98%
C-: 0.35%
C: 5.96%
C+: 3.16%
D-: 0.7%
D: 1.05%
D+: 0.7%
W: 2.81%
other: 7.37%
* "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.