Variational inference approach to jitter decomposition in high-speed link

Bobi Shi; Thong Nguyen; Jose Schutt-Aine

doi:10.1109/EPEPS48591.2020.9231487

Variational inference approach to jitter decomposition in high-speed link

Bobi Shi, Thong Nguyen, Jose Schutt-Aine

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728161617
DOIs	https://doi.org/10.1109/EPEPS48591.2020.9231487
State	Published - Oct 2020
Event	29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020 - San Jose, United States Duration: Oct 5 2020 → Oct 7 2020

Publication series

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

Conference

Conference	29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020
Country/Territory	United States
City	San Jose
Period	10/5/20 → 10/7/20

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

Online availability

10.1109/EPEPS48591.2020.9231487

Library availability

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Cite this

Shi, B., Nguyen, T., & Schutt-Aine, J. (2020). Variational inference approach to jitter decomposition in high-speed link. In EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems Article 9231487 (EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EPEPS48591.2020.9231487

Variational inference approach to jitter decomposition in high-speed link. / Shi, Bobi; Nguyen, Thong; Schutt-Aine, Jose.
EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc., 2020. 9231487 (EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shi, B, Nguyen, T & Schutt-Aine, J 2020, Variational inference approach to jitter decomposition in high-speed link. in EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems., 9231487, EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems, Institute of Electrical and Electronics Engineers Inc., 29th IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2020, San Jose, United States, 10/5/20. https://doi.org/10.1109/EPEPS48591.2020.9231487

Shi B, Nguyen T, Schutt-Aine J. Variational inference approach to jitter decomposition in high-speed link. In EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc. 2020. 9231487. (EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems). doi: 10.1109/EPEPS48591.2020.9231487

Shi, Bobi ; Nguyen, Thong ; Schutt-Aine, Jose. / Variational inference approach to jitter decomposition in high-speed link. EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems. Institute of Electrical and Electronics Engineers Inc., 2020. (EPEPS 2020 - IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems).

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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.",

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AB - 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.

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Variational inference approach to jitter decomposition in high-speed link

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Online availability

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