An effective method on reducing measurement noise based on Hilbert-Huang transform

Authors:
Jaejoon Kim;Xiaoyun Sun
Affiliations:
School of Computer and Communication Engineering, Daegu University, Gyeongsan, Gyungbuk, Korea;School of Electrical and Information Engineering, Hebei University of Science & Technology, China
Venue:
CISST'10 Proceedings of the 4th WSEAS international conference on Circuits, systems, signal and telecommunications
Year:
2010

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Abstract

For non-stationary signal in ultrasonic inspection, an effective denoising method based on Hilbert-Huang transform (HHT) is presented and a few key questions using the HHT method are discussed. The overall scheme of HHT includes two parts which are empirical mode decomposition (EMD) algorithm and a sum of intrinsic mode functions (IMF). Through the EMD process, individual IMF can be found. The IMF coefficients are preceded in useful signal dominative layers using a soft threshold method and finally those IMF coefficients are reconstructed. The results show that the usage of HHT method is reasonable at removing the measurement noise than the wavelet transform.