Jitter compensation in sampling via polynomial least squares estimation
Author(s)Weller, Daniel Stuart; Goyal, Vivek K.
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Research Laboratory of Electronics
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Institute of Electrical and Electronics Engineers (IEEE)
Weller, Daniel S., and Vivek K. Goyal. “Jitter Compensation in Sampling via Polynomial Least Squares Estimation.” IEEE, 2009. 3341–3344. © Copyright 2009 IEEE
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