NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Adaptive Characterization of Jitter Noise in Sampled High-Speed Signals
Published
Author(s)
Kevin J. Coakley, Chih-Ming Wang, Paul D. Hale, Tracy S. Clement
Abstract
We estimate the root-mean-square (RMS) value of timing jitter noise in simulated signals similar to measured high-speed sampled signals. The simulated signals are contaminated by additive noise, timing jitter noise, and time shift errors. Before estimating the RMS value of the jitter noise, we align the signals (unless there are no time shift errors) based on estimates of the relative shifts from cross-correlation analysis. We compute the mean and sample variance of the aligned signals based on repeated measurements at each time sample. We estimate the derivative of the average of the aligned signals at each time sample based on a regression spline model. Our estimate of the RMS value of the jitter noise depends on estimated derivatives and sample variances at time samples where the magnitude of the estimated derivative exceeds a selected threshold. Our estimate is generally biased. Using a parametric bootstrap approach, we adaptively adjust the estimate based on an estimate of this bias. We apply our method to real data collected at NIST. We study how results depend on the derivative threshold.
Citation
IEEE Transactions on Instrumentation and Measurement
Coakley, K.
, Wang, C.
, Hale, P.
and Clement, T.
(2003),
Adaptive Characterization of Jitter Noise in Sampled High-Speed Signals, IEEE Transactions on Instrumentation and Measurement, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51084
(Accessed October 10, 2025)