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

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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 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
PublisherIEEE
Pages72-75
Number of pages4
ISBN (Electronic)978-80-972629-5-2
ISBN (Print)978-1-6654-3245-0
DOIs
Publication statusPublished - 2021
EventMeasurement 2021: The 13th International Conference on Measurement - Online Conference, Slovakia
Duration: 17 May 202119 May 2021
Conference number: 13th

Conference

ConferenceMeasurement 2021
CountrySlovakia
CityOnline Conference
Period17/05/2119/05/21

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-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.

Keywords

  • Laser Doppler Vibrometer
  • Speckle Noise
  • Empirical Wavelet Transform

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