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A. Tonello

15 papers hereh-index 355k citations284 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1
  • last author12

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.IT5
  • eess.SP4
  • cs.CR1
  • cs.HC1
  • cs.NI1
  • cs.OH1
same name
  • A. Tonello — 20 papers, h 26
  • A. Tonello — 1 paper
  • A. Tonello — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedDiscriminative Mutual Information Estimators for Channel Capacity Learning

5 citations · 8 across the 5 of their papers we have counts for

collaborators
Showing eess.SPShow all

4 papers · 1 filter

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…

eess.SP2018

Smart Grid Monitoring Using Power Line Modems: Anomaly Detection and Localization

Federico Passerini, Andrea M. Tonello

The main subject of this paper is the sensing of network anomalies that span from harmless impedance changes at some network termination to more or less pronounced electrical fault…

eess.SP2018

Smart Grid Monitoring Using Power Line Modems: Effect of Anomalies on Signal Propagation

Federico Passerini, Andrea M. Tonello

The aim of the present work is to provide the theoretical fundamentals needed to monitor power grids using high frequency sensors. In our context, network monitoring refers to the…

eess.SP2018

Broadband MIMO Couplers Characterization and Comparison

Davide Righini, Andrea M. Tonello

This paper focuses on MIMO Power Line Communication (PLC) to provide increased performance. In MIMO PLC, appropriate coupling methods are necessary in order to enable the effective…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.