Class Visit: ECE 5415    Digital Signal Processing and Learning

By: Mert Sabuncu

This course covers fundamentals of digital signal and image processing and their connections to modern machine learning, using a balance of mathematical theory and hands-on experimentation. Topics include signals and systems, convolutions, frequency analysis, sampling, compressed sensing, image segmentation, image registration, neural-network-based machine learning, and representation learning. Students complete programming assignments in Python and problem sets to reinforce theoretical concepts.