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Predicting data-dependent jitter

Buckwalter, James and Analui, Behnam and Hajimiri, Ali (2004) Predicting data-dependent jitter. IEEE Transactions on Circuits and Systems II: Express Briefs, 51 (9). pp. 453-457. ISSN 1549-7747. doi:10.1109/TCSII.2004.834537. https://resolver.caltech.edu/CaltechAUTHORS:BUCieeetcsII04

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Abstract

An analysis for calculating data-dependent jitter (DDJ) in a first-order system is introduced. The predicted DDJ features unique threshold crossing times with self-similar geometry. An approximation for DDJ in second-order systems is described in terms of the damping factor and natural frequency. Higher order responses demonstrate conditions under which unique threshold crossing times do not exist and total jitter is minimized. The DDJ predictions are verified with jitter measurements in a bandwidth-limited amplifier. The predictions for both first and second-order systems anticipate the features of the observed jitter.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/TCSII.2004.834537DOIUNSPECIFIED
ORCID:
AuthorORCID
Hajimiri, Ali0000-0001-6736-8019
Additional Information:© Copyright 2004 IEEE. Reprinted with permission Manuscript received January 12, 2004; revised March 10, 2004. [Posted online: 2004-09-20] This work was supported by the Lee Center for Advanced Networking. This paper was recommended by Associate Editor C.-W. Wu. The authors would like to thank members of the Caltech High-Speed Integrated Circuit (CHIC) group for their suggestions, and the reviewers for their comments and attention.
Subject Keywords:Data-dependent jitter (DDJ), intersymbol interference, jitter
Issue or Number:9
DOI:10.1109/TCSII.2004.834537
Record Number:CaltechAUTHORS:BUCieeetcsII04
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:BUCieeetcsII04
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:3162
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:17 May 2006
Last Modified:08 Nov 2021 19:53

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