Eliminating Speckle Noises for Laser Doppler Vibrometer Based on Empirical Wavelet Transform

Eliminating Speckle Noises for Laser Doppler Vibrometer Based on Empirical Wavelet Transform

Jin, J. (TU Delft Railway Engineering)
Li, Z. (TU Delft Railway Engineering)

Dvurecenskij, Andrej (editor)
Manka, Jan (editor)
Svehlikova, Jana (editor)
Witkovsky, Viktor (editor)

2021

This paper presents a novel approach for eliminating speckle noises in Laser Doppler Vibrometer signals based on empirical wavelet transform (EWT). The moving root-mean-square thresholds are utilized to cut off signal drop-outs and produce noise discontinuity that EWT can identify. The extremum ratio behaves as the criterion to reject or accept the EWT decomposed components. While processing simulated signals, the EWT-based approach outperforms others and presents de-speckle robustness. In experiments, EWT reveals the actual vibration despite low signal-to-noise ratios, which indicates de-speckle efficiency.

Laser Doppler Vibrometer
Speckle Noise
Empirical Wavelet Transform

https://doi.org/10.4233/uuid:a6370a52-bad4-43ac-9ff6-daa830cde6cd

https://doi.org/10.23919/Measurement52780.2021.9446777

IEEE, Piscataway

2021-12-07

978-1-6654-3245-0

Proceedings of the 13th International Conference on Measurement, MEASUREMENT 2021

Measurement 2021, 2021-05-17 → 2021-05-19, Online Conference, Slovakia

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2021 J. Jin, Z. Li