Elenco Pubblicazioni - Publications (1524)
F. Gagliardi, I. Nannipieri, M. Scognamiglio, S. Contardi and A. Ria, "A PVT-Robust Beta-Multiplier Current Reference with Body-Effect-Based Temperature Dependency Modulation," 2024 PRIME Conference
Written by MARGHERITA SCOGNAMIGLIO
As of today, designing Current References (CRs) with enhanced PVT-robustness is still hardly straightforward, especially under area occupation constraints. In this work, we present a novel beta-multiplier CR, performing first-order temperature compensation without the need…
S. Contardi, A. Ria, I. Nannipieri, M. Scognamiglio, M. Piotto: "A Two Channels Fully-Programmable Integrated Neurostimulator with a 0.07% Charge Mismatch," 2024 19th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), pp. 1-4
Written by MARGHERITA SCOGNAMIGLIO
Abstract: Neurostimulation applications require increasing versatility to tailor the treatment to the patient needs, thus improving its efficacy. In this work, we propose a fully-programmable integrated neurostimulation system capable of performing biphasic stimulation with a maximum…
S. Contardi, A. Ria, I. Nannipieri, M. Scognamiglio, M. Piotto: "A Two Channels Fully-Programmable Integrated Neurostimulator with a 0.07% Charge Mismatch," 2024 19th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), pp. 1-4
Written by SIMONE CONTARDI
Abstract: Neurostimulation applications require increasing versatility to tailor the treatment to the patient needs, thus improving its efficacy. In this work, we propose a fully-programmable integrated neurostimulation system capable of performing biphasic stimulation with a…
M. Scognamiglio, F. Gagliardi, S. Contardi, I. Nannipieri, P. Bruschi, "A Fully Integrated 1 kHz-1 MHz Sinusoidal Waveform Generator Based on Second Order Analog Interpolation," PRIME Conference 2024
Written by MARGHERITA SCOGNAMIGLIO
In single-chip electrical impedance spectroscopy systems, generation of sinusoidal waveforms with frequencies variable over several decades is often the most challenging task. In this work, we propose an original approach to sinusoidal waveform synthesis, based…
Gabriela Mystkowska, Luca Zulberti, Matteo Monopoli, et al. Flexible Precision Vector Extension for Energy Efficient Coarse-Grained Reconfigurable Array AI-Engine. TechRxiv. October 02, 2024.
Written by LUCA ZULBERTI
(pre-print on TechRxiv, will be published soon) The rapid development of Artificial Intelligence (AI) algorithms has created a need for a resource-optimised hardware accelerator. Among various platforms, Coarse-Grained Reconfigurable Array (CGRA) have gained importance as…
