A comparison between spline-based and phase-domain time-delay estimators.

Journal Article (Letter)

We previously presented a novel time-delay estimator that uses cubic splines to estimate continuous time delays from sampled data. Previous simulation results showed that the spline-based algorithm yields superior performance when compared to the normalized correlation and the sum squared differences (SSD) algorithms implementing a variety of subsample interpolators. In this short communication, we present additional simulation results that compare the spline-based time-delay estimator to well-known phase-domain estimators. Under comparable conditions, spline-based methods exhibit biases approximately one tenth and standard deviation only one hundredth of those observed for the phase-based approaches.

Full Text

Duke Authors

Cited Authors

  • Viola, F; Walker, WF

Published Date

  • March 2006

Published In

Volume / Issue

  • 53 / 3

Start / End Page

  • 515 - 517

PubMed ID

  • 16555758

Electronic International Standard Serial Number (EISSN)

  • 1525-8955

International Standard Serial Number (ISSN)

  • 0885-3010

Digital Object Identifier (DOI)

  • 10.1109/tuffc.2006.1610558


  • eng