Machine learning based models for signal integrity analysis

Embargo set by: Seth Robbins for item 121126 Lift date: 2024-01-12T22:35:30Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Nguyen, Thong Nhu

Contributors dc:contributor

• Schutt-Aine, Jose
• Bernhard, Jennifer
• Cangellaris, Andreas
• Kudeki, Erhan

• Machine learning, EDA, simulation, system verification, system integration, Gaussian Process, full Bayesian treatment, recurrent neural network, feed-forward neural network, parameterized nonlinear macromodeling, surrogate modeling, IBIS, nonlinear I/O buffers, high-speed link, high-speed channel, eye diagram, Volterra-Laguerre, Volterra kernels, superconvolution, weakly nonlinear circuits.

Statement dc:rights

• Copyright 2021 Thong Nguyen

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/113200

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F113200