Variational inference approach to jitter decomposition in high-speed link

Bobi Shi, Thong Nguyen, Jose Schutt-Aine

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

Abstract

Jitter, a timing deviation from the ideal edge position, is an unwanted phenomenon in high-speed link systems. Decomposing jitter into its components and identifying each type of jitter are beneficial to diagnose the root causes of jitter, thereof improving the system design. In recent years, variational bayes inference (VBI) has made substantial progress towards improving the efficiency of statistical modeling. This paper proposes a jitter approximation method using VBI. Applications approximating different mixtures of well-known components of jitter show good results. The approximated distribution is much closer to the true jitter distributions as compared to traditional methods.

Original languageEnglish (US)
Title of host publicationEPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728161617
DOIs
StatePublished - Oct 2020
Externally publishedYes
Event29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020 - San Jose, United States
Duration: Oct 5 2020Oct 7 2020

Publication series

NameEPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems

Conference

Conference29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020
Country/TerritoryUnited States
CitySan Jose
Period10/5/2010/7/20

Keywords

  • Gaussian mixture model
  • High-speed link system
  • Jitter decomposition
  • Stochastic variontional inference

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology

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