Digital Signal Processing - Graduate Certificate (Online)
Digital Signal Processing (DSP) focuses on the processing and analysis of digitized signals. This certificate introduces students to the basic theory as well as the application of that theory.
A 3.0 minimum cumulative GPA in four courses (12 credits) as described below will be required for award of this certificate. Dr. Laura Boucheron, Professor, Klipsch School of Electrical & Computer Engineering, (575) 646-7420.
| Prefix | Title | Credits |
|---|---|---|
| Required Courses | 6 | |
| Digital Signal Processing II | 3 | |
| Random Signal Analysis | 3 | |
| Electives (six credits from the following): | 6 | |
| Machine Learning I | 3 | |
| Signal Compression | 3 | |
| Advanced Image Processing | 3 | |
| Deep Learning for Image Processing | 3 | |
| Digital Image Processing | 3 | |
| Neural Signal Processing | 3 | |
| Total Credits | 12 | |