2022 article

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks

MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD), pp. 167–172.

By: P. Kashyap n, A. Gajjar n, Y. Choi*, C. Wong n, D. Baron n, T. Wu n, C. Cheng*, P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: SerDes; receiver; behavior modeling; adaptive; generative; measurement; GAN; DFE; IBIS-AMI
Source: Web Of Science
Added: October 31, 2022