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Data Representation and Preprocessing Effects on S-Parameter Modeling of High-Speed Channels Using Machine Learning

  • Hyunwook Park
  • , Davit Kharshiladze
  • , Yifan Ding
  • , Ling Zhang
  • , Natalia Bondarenko
  • , Hanqin Ye
  • , Kaushal Sanjay Mhalgi
  • , Brice Achkir
  • , Chulsoon Hwang
  • Missouri University of Science and Technology
  • Alphabet Inc.
  • Zhejiang University
  • Cisco Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2025 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC + SIPI 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages142-147
Number of pages6
ISBN (Electronic)9798331508746
DOIs
StatePublished - 2025
Event2025 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC + SIPI 2025 - Raleigh, United States
Duration: Aug 18 2025Aug 22 2025

Publication series

NameIEEE International Symposium on Electromagnetic Compatibility
ISSN (Print)1077-4076
ISSN (Electronic)2158-1118

Conference

Conference2025 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC + SIPI 2025
Country/TerritoryUnited States
CityRaleigh
Period8/18/258/22/25

ASJC Scopus Subject Areas

  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Keywords

  • Data preprocess
  • Data representation
  • Machine learning
  • S-parameter

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