Deep Learning for Radio Frequency Systems

Deep learning within RF shows promise for dealing with a congested spectrum by enhancing reliability and simplifying the task of building wireless systems. This webinar will discuss a software defined radio that can perform real-time DSP and deep learning with an NVIDIA GPU and an Analog Devices front end. We'll discuss system performance, training of RF data, software used to deploy algorithms, and take a deep dive into one application.

Attendees will learn:

• Applications of deep learning for systems and signals
• How to leverage open source software for deployment
• Performance benchmarks of deep learning algorithms within a software defined radio system

Speaker

John Ferguson, CEO, Deepwave Digital

John Ferguson is CEO of Deepwave Digital, a Philadelphia-based startup enabling seamless integration of artificial intelligence into wireless technology. Previously, John was a member of the technical staff at MIT Lincoln Laboratory and the senior professional staff at Johns Hopkins University's applied physics laboratory. He holds a B.S. in applied mathematics and applied physics from Appalachian State University and an M.S. and Ph.D. in materials science from Cornell University.