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1 Ergebnisse
1
RxGAN: Modeling High-Speed Receiver through Generative Adve..:
, In:
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD
,
Kashyap, Priyank
;
Gajjar, Archit
;
Choi, Yongjin
... - p. 167-172 , 2022
Link:
https://dl.acm.org/doi/10.1145/3551901.3556480
RT T1 <cTitle>Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD</cTitle>: T1 <Title>RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3556480&Exemplar=1&LAN=DE A1 Kashyap, Priyank A1 Gajjar, Archit A1 Choi, Yongjin A1 Wong, Chau-Wai A1 Baron, Dror A1 Wu, Tianfu A1 Cheng, Chris A1 Franzon, Paul PB ACM YR 2022 K1 DFE K1 GAN K1 IBIS-AMI K1 SerDdes K1 adaptive K1 behavior modeling K1 generative K1 measurement K1 receiver K1 Hardware K1 Electronic design automation K1 Modeling and parameter extraction K1 Very large scale integration design K1 Analog and mixed-signal circuits K1 Printed circuit boards K1 Electromagnetic interference and compatibility SP 167 OP 172 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551901.3556480 DO https://dl.acm.org/doi/10.1145/3551901.3556480 SF ELIB - SuUB Bremen
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