Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gerardo Saggese"'
Autor:
Mattia Tambaro, Elia Arturo Vallicelli, Gerardo Saggese, Antonio Strollo, Andrea Baschirotto, Stefano Vassanelli
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 10, Iss 3, p 26 (2020)
This work presents a comparison between different neural spike algorithms to find the optimum for in vivo implanted EOSFET (electrolyte–oxide-semiconductor field effect transistor) sensors. EOSFET arrays are planar sensors capable of sensing the el
Externí odkaz:
https://doaj.org/article/ec8aab61946b4879bf78d21137c50cf3
Publikováno v:
Integration. 91:35-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::434cd6528d77580df4c35f2ba8863aaf
https://doi.org/10.1016/j.vlsi.2023.02.007
https://doi.org/10.1016/j.vlsi.2023.02.007
Autor:
Antonio Giuseppe Maria Strollo, Ettore Napoli, Davide De Caro, Nicola Petra, Gerardo Saggese, Gennaro Di Meo
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:2449-2462
Approximate multipliers are used in error-tolerant applications, sacrificing the accuracy of results to minimize power or delay. In this paper we investigate approximate multipliers using static segmentation. In these circuits a set of m contiguous b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc0644972cf86e24790dc7293dc957b
https://doi.org/10.1109/tcsi.2022.3152921
https://doi.org/10.1109/tcsi.2022.3152921
Publikováno v:
Electronics; Volume 12; Issue 2; Pages: 446
In this paper, we analyze the performances of an Enhanced Static Segment Multiplier (ESSM) when the inputs have both uniform and non-uniform distribution. The enhanced segmentation divides the multiplicands into a lower, a middle, and an upper segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ff0c244bd549c8461b188c75ca1c7ea
https://hdl.handle.net/11588/913036
https://hdl.handle.net/11588/913036
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3005
In this paper a novel low-power approximate floating-point multiplier is presented. Since the mantissa computation is responsible for the largest part of the power consumption, we apply a novel approximation technique to mantissa multiplication, base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c7a798d01101543ec0a4c815a11eb7
Publikováno v:
2022 IEEE 29th Symposium on Computer Arithmetic (ARITH).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e1b175507d6080f03c614cb3d0ac4eb
https://doi.org/10.1109/arith54963.2022.00020
https://doi.org/10.1109/arith54963.2022.00020
Publikováno v:
2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c56675eee49a312533ba71c114bd2aa5
https://doi.org/10.1109/prime55000.2022.9816758
https://doi.org/10.1109/prime55000.2022.9816758
Autor:
Italo Nunziata, Efstratios Zacharelos, Gerardo Saggese, Antonio Maria Giuseppe Strollo, Ettore Napoli
Publikováno v:
2022 17th Conference on Ph.D Research in Microelectronics and Electronics (PRIME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3de6880d30726c1365967c4cfe9195e5
https://doi.org/10.1109/prime55000.2022.9816787
https://doi.org/10.1109/prime55000.2022.9816787
Publikováno v:
Electronics, Vol 10, Iss 3068, p 3068 (2021)
Electronics; Volume 10; Issue 24; Pages: 3068
Electronics; Volume 10; Issue 24; Pages: 3068
High-density microelectrode arrays allow the neuroscientist to study a wider neurons population, however, this causes an increase of communication bandwidth. Given the limited resources available for an implantable silicon interface, an on-fly data r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d16575ad4c48215ce6bb0d95e0b666
https://www.mdpi.com/2079-9292/10/24/3068
https://www.mdpi.com/2079-9292/10/24/3068
Publikováno v:
Electronics; Volume 11; Issue 18; Pages: 2943
Advances in microtechnology have enabled an exponential increase in the number of neurons that can be simultaneously recorded. To meet high-channel count and implantability demands, emerging applications require new methods for local real-time proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8931491a35ce2309afb322cf6430317
https://doi.org/10.3390/electronics11182943
https://doi.org/10.3390/electronics11182943