M.Sc. Francesca Diedolo
Technische Universität München
Lehrstuhl für Nachrichtentechnik (Prof. Kramer)
Postadresse
Theresienstr. 90
80333 München
- Tel.: +49 (89) 289-23492
- Raum: 0104.04.403
- E-Mail: francesca.diedolo@tum.de
Biografie
- Seit Februar 2021 wissenschaftliche Mitarbeiterin am Lehrstuhl für Nachrichtentechnik der TUM
- M.Sc. in Communications Engineering an der TUM, 2018-2020
- B.Sc. in Elektro- und Informationstechnik an der Università degli Studi di Padova, 2015-2018
Lehre
Machine Learning for Communications(WS 21/22, WS 22/23, WS 23/24)
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Publikationen
2025
- Neural Network-Based Successive Interference Cancellation for Non-Linear Bandlimited Channels. IEEE Trans. Commun. 73 (3), 2025, 1847-1861 mehr… BibTeX Volltext ( DOI )
2024
- On Directed Information and Causality in Time Series. European School of Information Theory (ESIT), 2024 mehr… BibTeX
- On Directed Information and Causality in Time Series. Munich Workshop on Shannon Coding Techniques (MSCT), 2024 mehr… BibTeX
- Neural network equalizers and successive interference cancellation for bandlimited channels with a nonlinearity. IEEE Intl. Symp. Inf. Theory, 2024 mehr… BibTeX
2022
- Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error. European Conference on Optical Communication (ECOC), 2022 mehr… BibTeX
- Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error. Workshop on Algorithms for Short Transmission Reach Optics (ASTRO), 2022 mehr… BibTeX
- Nonlinear Component Equalization: A Comparison of Deep Neural Networks and Volterra Series. European Conference on Optical Communication (ECOC), 2022 mehr… BibTeX
2021
- Label Extension for 32QAM: The Extra Bit for a Better FEC Performance-Complexity Tradeoff. 2020 European Conference on Optical Communications (ECOC), IEEE, 2021 mehr… BibTeX Volltext ( DOI )