Modular Neural Network-Based Models of High-Speed Link Transceivers
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Illinois Urbana–Champaign, Urbana, IL, USA
2. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
Funder
U.S. Army Small Business Innovation Research (SBIR) Program Office
U.S. Army Research Office
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Electronic, Optical and Magnetic Materials
Link
https://ieeexplore.ieee.org/ielam/5503870/10288291/10196036-aam.pdf
Reference35 articles.
1. Laguerre–Volterra Feed-Forward Neural Network for Modeling PAM-4 High-Speed Links
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4. Improved Adam Optimizer for Deep Neural Networks
5. Behavioral Modeling of Tunable I/O Drivers With Preemphasis Including Power Supply Noise
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