Jitter compensation in sampling via polynomial least squares estimation
Name
Weller-2009-JITTER COMPENSATION IN SAMPLING VIA POLYNOMIAL LEAST SQUARES ESTIMATION.pdf
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243.1 KB
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Checksum (MD5)
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Author(s)
Weller, Daniel Stuart
Goyal, Vivek K.
Date Issued
May 2009
Journal
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Weller, Daniel S., and Vivek K. Goyal. “Jitter Compensation in Sampling via Polynomial Least Squares Estimation.” IEEE, 2009. 3341–3344. © Copyright 2009 IEEE
Version
Final published version
Abstract
Sampling error due to jitter, or noise in the sample times, affects the precision of analog-to-digital converters in a significant, nonlinear fashion. In this paper, a polynomial least squares (PLS) estimator is derived for an observation model incorporating both independent jitter and additive noise, as an alternative to the linear least squares (LLS) estimator. After deriving this estimator, its implementation is discussed, and it is simulated using Matlab. In simulations, the PLS estimator is shown to improve the mean squared error performance by up to 30 percent versus the optimal linear estimator.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2009.4960340
