Abstract
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.
| Original language | English |
|---|---|
| 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 |
| Publisher | IEEE |
| Pages | 72-75 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-80-972629-5-2 |
| ISBN (Print) | 978-1-6654-3245-0 |
| DOIs | |
| 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 |
Conference
| Conference | Measurement 2021 |
|---|---|
| Country/Territory | Slovakia |
| City | Online Conference |
| Period | 17/05/21 → 19/05/21 |
Bibliographical note
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-careOtherwise 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.
Keywords
- Laser Doppler Vibrometer
- Speckle Noise
- Empirical Wavelet Transform