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.
|Title of host publication||Proceedings of the 13th International Conference on Measurement, MEASUREMENT 2021|
|Editors||Andrej Dvurecenskij, Jan Manka, Jana Svehlikova, Viktor Witkovsky|
|Place of Publication||Piscataway|
|Number of pages||4|
|Publication status||Published - 2021|
|Event||Measurement 2021: The 13th International Conference on Measurement - Online Conference, Slovakia|
Duration: 17 May 2021 → 19 May 2021
Conference number: 13th
|Period||17/05/21 → 19/05/21|
Bibliographical noteGreen 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.
- Laser Doppler Vibrometer
- Speckle Noise
- Empirical Wavelet Transform