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.
author keywords: receiver; CTLE; adaptation; deep neural networks; high- correlation; fast
TL;DR:
This research focuses on building a model for high-speed SerDes receiver CTLE adaptation behavior, which has a fast simulation speed and high-precision prediction.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
14. Life Below Water
(Web of Science)
15. Life on Land
(Web of Science)
Sources: Web Of Science, NC State University Libraries
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.
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)
TL;DR:
The self-evolution cascade deep learning (SCDL) model is proposed to show a parallel approach to effectively modeling adaptive SerDes behavior and uses its own failure experiences to optimize its future solution search according to the prediction of the receiver equalization adaptation trend.
(via Semantic Scholar)
open access via ieeexplore.ieee.org (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
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.
Source: NC State University Libraries
Added: August 6, 2018
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