Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Fabio Pareschi"'
Autor:
Carmine Paolino, Alessio Antolini, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 13, Iss 1, p 17 (2023)
Analog In-Memory computing (AIMC) is a novel paradigm looking for solutions to prevent the unnecessary transfer of data by distributing computation within memory elements. One such operation is matrix-vector multiplication (MVM), a workhorse of many
Externí odkaz:
https://doaj.org/article/9572963715af4224adc9983be52a773b
Publikováno v:
IEEE Access, Vol 8, Pp 36464-36475 (2020)
This paper explores the effects of compensating the performance degradation in high-speed Continuous-Time Sigma-Delta modulators when the loop integrators are implemented through limited gain Operational Transconductance Amplifiers. Yet, the low DC-g
Externí odkaz:
https://doaj.org/article/b3a4a46201f648e5b77134cb7bb3fd62
Publikováno v:
IEEE Access, Vol 8, Pp 205568-205589 (2020)
In recently published papers, an innovative analytical approach for the design of a class-E resonant dc-dc converter has been first proposed and further extended to many other class-E converter topologies. Its peculiarity is to be dimensionless and b
Externí odkaz:
https://doaj.org/article/304d525132124cb7a77359b5513c597c
Publikováno v:
IEEE Access, Vol 7, Pp 83825-83838 (2019)
Resonant and quasi-resonant dc-dc converters have been introduced to increase the operating frequency of switching power converters, with advantages in terms of performance, cost, and/or size. In this paper, we focus on class-E resonant topologies, a
Externí odkaz:
https://doaj.org/article/1bb37857e662453ca4f85ea9664ec22d
EMI Reduction via Spread Spectrum in DC/DC Converters: State of the Art, Optimization, and Tradeoffs
Publikováno v:
IEEE Access, Vol 3, Pp 2857-2874 (2015)
Spread spectrum is a technique introduced for mitigating electromagnetic interference (EMI) problems in many class of circuits. In this paper, with particular emphasis on switching DC/DC converters, we consider the most common and most efficient know
Externí odkaz:
https://doaj.org/article/b11b787377e14a68b2cb71c3c8138474
Autor:
Alessio Antolini, Carmine Paolino, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13:395-407
Matrix-Vector Multiplications (MVMs) represent a heavy workload for both training and inference in Deep Neural Networks (DNNs) applications. Analog In-memory Computing (AIMC) systems based on Phase Change Memory (PCM) has been shown to be a valid com
Publikováno v:
IEEE Transactions on Cybernetics. 53:1324-1334
Applying chaos theory for secure digital communications is promising and it is well acknowledged that in such applications the underlying chaotic systems should be carefully chosen. However, the requirements imposed on the chaotic systems are usually
The growing interest in Internet of Things and mobile Artificial Intelligence applications is pushing the investigation on Deep Neural Networks (DNNs) that can operate at the edge using low-resources/energy devices. To obtain such a goal, several pru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::575bb1e3317c80f8b2de3f23902fcfae
https://doi.org/10.36227/techrxiv.22561567.v1
https://doi.org/10.36227/techrxiv.22561567.v1
Autor:
Gianluca Setti, Wouter A. Serdijn, Riccardo Rovatti, Virgilio Valente, Fabio Pareschi, Carmine Paolino, Andrea Celentano
In this paper, we investigate the primary-side control of a Wireless Power Transfer (WPT) link, i.e., the capability of delivering the optimal power level to the load without compromising system efficiency, by only sensing quantities available at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::035aaed7bc87d7d0a892ae34040ec69f
https://doi.org/10.36227/techrxiv.22434436
https://doi.org/10.36227/techrxiv.22434436
Publikováno v:
Nonlinear Dynamics. 102:2887-2904
Low-power devices used in Internet-of-things networks have been short of security due to the high power consumption of random number generators. This paper presents a low-power hyperchaos-based true random number generator, which is highly recommende