Signal Processing, Communications, and Controls Concentration
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Graduate Studies Concentration in
Signal Processing, Communications, and Controls
Students in the Signal Processing, Communications, and Controls (SPCC) concentration focus on research and coursework in multimedia signal processing, statistical and nonlinear signal processing, image processing, time-frequency analysis, wireless communications, information theory, coding, as well as emerging SPCC theories and applications. The SPCC concentration is available to students in the MSECE and Ph.D. degree programs. Students in the SPCC concentration must complete the following:
Course Requirements
Required Courses
| ELEG 663 – Signal Processing & Communications Seminar (each semester) | 0 Credits |
A minimum of two courses from the following:
| ELEG 630 – Information Theory | 3 Credits |
| ELEG 631 – Digital Signal Processing | 3 Credits |
| ELEG 635 – Digital Communications | 3 Credits |
| ELEG 815 – Analytics I: Statistical Learning | 3 Credits |
A minimum of two courses from the following:
| ELEG 601 – Convex Optimization | 3 Credits |
| ELEG 604 – Imaging and Deep Learning | 3 Credits |
| ELEG 634 – Signals and Systems | 3 Credits |
| ELEG 668 – Detection and Estimation | 3 Credits |
| ELEG 811 – Channel Coding Theory and Practice | 3 Credits |
| ELEG 812 – Wireless Digital Communications | 3 Credits |
| ELEG 817 – Large Scale Machine Learning | 3 Credits |
General Requirements
Students must also complete the general degree requirements as detailed in the Electrical and Computer Engineering Graduate Policy and University Catalog. These requirements include credit requirements and, for Ph.D. and thesis option MSECE students, the carrying out of research and completion of a dissertation/thesis.