ENEE630

Advanced Digital Signal Processing

Reviews for this courseTestudo

Prerequisite: ENEE425. Corequisite: ENEE620. Credit only granted for: ENEE624 or ENEE630. Formerly: ENEE624. This is the first-year graduate course in signal processing. The objective is to establish fundamental concepts of signal processing on multirate processing, parametric modeling, linear prediction theory, modern spectral estimation, and high-resolution techniques.

Fall 2025

Behtash Babadi

1 review
Average rating: 5.00

Past Semesters

Behtash Babadi

1 review
Average rating: 5.00

Tahereh Fazel

0 reviews
Average rating: N/A

Tahereh Fazel

0 reviews
Average rating: N/A

KJ Ray Liu

0 reviews
Average rating: N/A

Tahereh Fazel

0 reviews
Average rating: N/A

Piya Pal

0 reviews
Average rating: N/A

Min Wu

0 reviews
Average rating: N/A

Vishal Patel

0 reviews
Average rating: N/A

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 3.20 between 302 students*

ENEE630 Grade Distribution+-0510152025303540455055% of studentsABCDFWother
A-: 21.52%
A: 22.85%
A+: 8.94%
B-: 4.97%
B: 9.93%
B+: 12.25%
C-: 0.66%
C: 3.31%
C+: 1.32%
D-: 0.33%
D: 1.99%
F: 0.99%
W: 5.63%
other: 5.3%
* "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.