Works (3)

Updated: July 5th, 2023 14:42

2020 article

CTLE Adaptation Using Deep Learning in High-speed SerDes Link

2020 IEEE 70TH ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2020), pp. 952–955.

By: B. Li n, B. Jiao*, C. Chou*, R. Mayder* & P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: receiver; CTLE; adaptation; deep neural networks; high- correlation; fast
Sources: Web Of Science, ORCID
Added: March 8, 2021

2020 journal article

Self-Evolution Cascade Deep Learning Model for High-Speed Receiver Adaptation

IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 10(6), 1043–1053.

By: B. Li n, B. Jiao*, C. Chou*, R. Mayder* & P. Franzon n

co-author countries: United States of America 🇺🇸
author keywords: Adaptation models; Integrated circuit modeling; Logic gates; Receivers; Deep learning; Data models; Training; Adaptation; behavior; cascade; deep learning; high correlation; IBIS algorithmic modeling interface (IBIS-AMI); modeling; receiver; self-evolution cascade deep learning (SCDL)
Sources: Web Of Science, ORCID
Added: July 6, 2020

conference paper

Machine learning in physical design

Li, B. W., & Franzon, P. D. Ieee conference on electrical performance of electronic packaging and, 147–149.

By: B. Li & P. Franzon

Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.