Eliminating Speckle Noises for Laser Doppler Vibrometer Based on Empirical Wavelet Transform
Yang Jin (TU Delft - Civil Engineering & Geosciences)
Zili Li (TU Delft - Civil Engineering & Geosciences)
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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.