5 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.IT2021★ 5 cited
Discriminative Mutual Information Estimators for Channel Capacity Learning
Nunzio A. Letizia, Andrea M. Tonello
Channel capacity plays a crucial role in the development of modern communication systems as it represents the maximum rate at which information can be reliably transmitted over a c…
cs.IT2020★ 3 cited
Capacity-Approaching Autoencoders for Communications
Nunzio A. Letizia, Andrea M. Tonello
The autoencoder concept has fostered the reinterpretation and the design of modern communication systems. It consists of an encoder, a channel, and a decoder block which modify the…
eess.SP2019
Machine Learning Tips and Tricks for Power Line Communications
Andrea M. Tonello, Nunzio A. Letizia, Davide Righini +1
A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power…