Comprehensive algorithm for eye diagram crossing point detection and eye parameter extraction in transient simulation
Park, Halim
Loading…
Permalink
https://hdl.handle.net/2142/127290
Description
Title
Comprehensive algorithm for eye diagram crossing point detection and eye parameter extraction in transient simulation
Author(s)
Park, Halim
Issue Date
2024-12-10
Director of Research (if dissertation) or Advisor (if thesis)
Schutt-Ainé, José E.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Eye Diagram
Eye Crossing Point
Eye Parameters
Signal Integrity
Electronic Design Automation
Abstract
This thesis presents a comprehensive algorithm to improve the accuracy of crossing point detection in eye diagrams, a critical component of eye parameter extraction in signal integrity analysis. Current industry tools often fail in edge cases, particularly when dealing with nonlinearities and high distortion. This research identifies these limitations and introduces a robust algorithm that reliably locates crossing points across a variety of scenarios. The proposed method is validated against existing tools and demonstrated to enhance precision in eye parameter extraction, enabling more effective performance evaluation of high-speed digital communication systems.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
