Abstract
In this paper we propose a new algorithm for sub-sample time-delay estimation between two discrete-time signals. The new algorithm operates just over the discrete-time signals without the need for interpolation or fitting. The proposed method is compared with a method based on spline fitting, and that is referred to outperform other methods over a broader set of conditions (Viola&Walker, 2005). The new approach, besides presenting a low computational cost (70% less), seemed to outperforms the spline approach in situations of high noise levels (typically signal-to noise ratios smaller than 20dB).
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© 2014 Springer International Publishing Switzerland
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Teixeira, C.A., Ruano, M.G., Pereira, W.C.A. (2014). An Interpolation-Free and Fitting-Less Sub-sample Time-Delay Estimation Algorithm. In: Zhang, YT. (eds) The International Conference on Health Informatics. IFMBE Proceedings, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-319-03005-0_73
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DOI: https://doi.org/10.1007/978-3-319-03005-0_73
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03004-3
Online ISBN: 978-3-319-03005-0
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