Computationally efficient spline-based time delay estimation.

Journal Article (Letter)

We previously presented a highly accurate, spline-based time delay estimator that directly determines subsample time delay estimates from sampled data. The algorithm uses cubic splines to produce a continuous time representation of a reference signal, and then computes an analytical matching function between this reference and a delayed signal. The location of the minima of this function yields estimates of the time delay. In this paper we present more computationally efficient formulations of this algorithm. We present the results of computer simulations and ultrasound experiments which indicate that the bias and the standard deviation of the proposed algorithms are comparable to those of the original method, and thus superior to other published algorithms.

Full Text

Duke Authors

Cited Authors

  • Viola, F; Walker, WF

Published Date

  • September 2008

Published In

Volume / Issue

  • 55 / 9

Start / End Page

  • 2084 - 2091

PubMed ID

  • 18986905

Pubmed Central ID

  • PMC2596581

Electronic International Standard Serial Number (EISSN)

  • 1525-8955

International Standard Serial Number (ISSN)

  • 0885-3010

Digital Object Identifier (DOI)

  • 10.1109/tuffc.900


  • eng