IEEE WIE Philadelphia Section Speaker Series
Date: Tuesday, February 27, 2024
Time: 7 pm - 8 pm
Location: Virtual
Deep Learning for Radio-Frequency Applications Used in Wireless Communication and Spectrum Sensing
The first part of my talk will describe some of my research in the domain of machine learning on radio-frequency signals (RFML) – in particular deep learning for RF applications used in wireless communication and spectrum sensing. The second part will shed light on a new area of AI, popularized as learned compression, which in many data-domains achieved better results than the best traditional lossy information compression methods. I will illustrate it using my recent research results.
Click HERE to register