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

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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 languageEnglish
Title of host publicationProceedings of the 13th International Conference on Measurement, MEASUREMENT 2021
EditorsAndrej Dvurecenskij, Jan Manka, Jana Svehlikova, Viktor Witkovsky
Place of PublicationPiscataway
Number of pages4
ISBN (Electronic)978-80-972629-5-2
ISBN (Print)978-1-6654-3245-0
Publication statusPublished - 2021
EventMeasurement 2021: The 13th International Conference on Measurement - Online Conference, Slovakia
Duration: 17 May 202119 May 2021
Conference number: 13th


ConferenceMeasurement 2021
CityOnline Conference

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-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


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