Technical Education Webinar Series
Title: Deep Learning for Radar and Communications
Date: March 31, 2020
Time: 8am PT / 11am ET
Sponsored by: MathWorks
Presented by: Rick Gentile, Senior Product Manager
Next generation RF receivers have to operate in harsh environments where interference of all kinds increase the system level challenges. These types of receivers have numerous applications including cognitive radar, software-defined radio, and more generally, systems that require efficient spectrum management.
In this webinar, we will demonstrate techniques to apply Deep Learning and Machine Learning networks for a range of radar and wireless communications systems. The webinar will cover:
Rick Gentile focuses on Phased Array, Signal Processing, Sensor Fusion, and RF applications at MathWorks. Prior to joining MathWorks, Rick was a Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of radar systems. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems. Rick co-authored the text “Embedded Media Processing”. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.
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