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Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals

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Nature of Computation and Communication (ICTCC 2016)

Abstract

Muscle fiber conduction velocity (MFCV) is generally measured by the estimation of the time delay between electromyography recording channels. In this paper, we compare performances of two well-known approaches: parametric and non-parametric. The results indicate that the non-parametric approach can obtain better performance when the noise is strong (SNR = 10 dB). With the low noise level, the parametric approaches become more interesting.

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Acknowledgment

This research is funded by Posts and Telecommunications Institute of Technology (PTIT) in 2016.

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Correspondence to Gia Thien Luu .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Luu, G.T., Duy, T.T. (2016). Comparison Between Parametric and Non-Parametric Approaches for Time-Varying Delay Estimation with Application to Electromyography Signals. In: Vinh, P., Barolli, L. (eds) Nature of Computation and Communication. ICTCC 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-46909-6_5

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  • DOI: https://doi.org/10.1007/978-3-319-46909-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46908-9

  • Online ISBN: 978-3-319-46909-6

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