Machine learning based models for signal integrity analysis

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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 identifier oai:identifier

oai:www.ideals.illinois.edu:2142/113200