Model-Based Deep Learning in Signal Processing and Communications

Explore the intersection of model-based deep learning with signal processing and communications in this insightful webinar presented by Nir Shlezinger for the IEEE Signal Processing Society. Delve into the innovative approaches that combine traditional model-based techniques with the power of deep learning to enhance performance in various signal processing and communication tasks. Gain valuable knowledge on how these hybrid methods leverage domain expertise and data-driven learning to overcome challenges in areas such as channel estimation, signal detection, and system optimization. Learn about the latest advancements, practical applications, and future directions of this rapidly evolving field during this comprehensive 1-hour and 12-minute presentation.