Elenco Pubblicazioni - Publications (1450)
P. Nannipieri, D.Davalle, L. Fanucci, "A Novel Parallel 8B/10B Encoder: Architecture and Comparison with Classical Solution", IEICE TRANS. FUNDAMENTALS, VOL.E101–A, NO.7 JULY 2018
Written by PIETRO NANNIPIERI
8B/10B is an encoding technique largely used in different communication protocols, with several advantages such as zero DC bias. In the last years transmission rates have grown rapidly, thus the need of encoders with better…
P. Nannipieri, G. Dinelli, D.Davalle, L. Fanucci, "A SpaceFibre multi lane codec System on a Chip: enabling technology for low cost satellite EGSE", PRIME 2018 conference, Prague
Written by PIETRO NANNIPIERI
In the last few years, data rate requirement on onboard satellite communication systems significantly grown. The need of high speed networks led to the birth of the SpaceFibre protocol, which is able to run at…
P. Nannipieri, G. Dinelli, D.Davalle, L. Fanucci, "A SpaceFibre multi lane codec System on a Chip: enabling technology for low cost satellite EGSE", PRIME 2018 conference, Prague
Written by PIETRO NANNIPIERI
In the last few years, data rate requirement on onboard satellite communication systems significantly grown. The need of high speed networks led to the birth of the SpaceFibre protocol, which is able to run at…
M. Moscadelli, A. Riccobono, C. Giunti, E. Guadagnoli, A. Porta, Polynomial-fitting Temperature-Emissivity Separation in Thermal IR Hyperspectral Imagery - Polaris Innovation Journal, Issue 35, Leonardo S.p.A. Technical Review, September 2018.
Written by MATTEO MOSCADELLI
This paper presents a new algorithm for the Temperature-Emissivity Separation (TES) task in LWIR hyperspectral imagery. The joint retrieval of both physical quantities from the measured radiance represents an ill-posed problem. Moreover, the atmosphere modifies…
D. Mulfari, G.Meoni, M.Marini, L. Fanucci (2018) - Towards a Deep Learning Based ASR System for Users with Dysarthria, 16th International Conference on Computers Helping People with Special Needs, University
Written by DAVIDE MULFARI
In this paper, we investigate the benefits of deep learning approaches for the development of personalized assistive technology solutions for users with dysarthria, a speech disorder that leads to low intelligibility of users’ speaking. It…
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