Sergio Barbarossa
Professore Ordinario
E-mail:
| Titolo | Pubblicato in | Anno |
|---|---|---|
| The edge cloud. A holistic view of communication, computation, and caching | Cooperative and Graph Signal Processing: Principles and Applications | 2018 |
| On the graph Fourier transform for directed graphs | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING | 2017 |
| Distributed adaptive learning of graph signals | IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2017 |
| 5G-MiEdge: Design, standardization and deployment of 5G phase II technologies: MEC and mmWaves joint development for Tokyo 2020 olympic games | 2017 IEEE Conference on Standards for Communications and Networking, CSCN 2017 | 2017 |
| Overbooking radio and computation resources in mmW-mobile edge computing to reduce vulnerability to channel intermittency | EuCNC 2017 - European Conference on Networks and Communications | 2017 |
| Graph Fourier transform for directed graphs based on Lovász extension of min-cut | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 2017 |
| Enabling effective mobile edge computing using millimeterwave links | 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017 | 2017 |
| Optimal sampling strategies for adaptive learning of graph signals | Proceedings of European Signal Processing Conference (EUSIPCO 2017) | 2017 |
| Distributed recursive least squares strategies for adaptive reconstruction of graph signals | Proceedings of European Signal Processing Conference (EUSIPCO 2017) | 2017 |
| Where, when, and how mmWave is used in 5G and beyond | IEICE TRANSACTIONS ON ELECTRONICS | 2017 |
| Signals on graphs: Uncertainty principle and sampling | IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2016 |
| Adaptive Least Mean Squares Estimation of Graph Signals | IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS | 2016 |
| On sparse controllability of graph signals | Proceedings of ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing | 2016 |
| Graph topology inference based on transform learning | Proc. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | 2016 |
| An introduction to hypergraph signal processing | Proceedings of ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing | 2016 |
| Distributed adaptive learning of signals defined over graphs | Conference Record - Asilomar Conference on Signals, Systems and Computers | 2016 |
| Distributed mobile cloud computing: A multi-user clustering solution | Proceedings of 2016 IEEE International Conference on Communications, ICC 2016 | 2016 |
| LMS estimation of signals defined over graphs | European signal processing conference | 2016 |
| Joint optimization of radio and computational resources for multicell mobile-edge computing | IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS | 2015 |
| Uncertainty principle and sampling of signals defined on graphs | Conference Record - Asilomar Conference on Signals, Systems and Computers | 2015 |
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma