Method of Ultrasonic Signal De-Noising Based on Lifting Wavelet Improved Threshold

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Abstract:

The article established the mathematical model of ultrasonic flaw echo signals. First, the basic theory of wavelet transform is introduced, the principle of the wavelet threshold de-noising method is analyzed; Then on the basis of soft and hard threshold function, the paper proposes a method based on lifting wavelet de-noising. And from two aspects of signal-to-noise ratio (SNR) and mean square error (MSE) the de-noising performance is analysed. The results show that the method improved the shortcomings of soft and hard threshold de-noising method, and got a better de-noising performance and higher signal-to-noise ratio. So in real-time signal de-noising aspect the lifting wavelet has a very good application prospect.

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3818-3821

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] SHEN Xiaoan. De-noising tecniques for ultrasonic signals based on lifting wavelet transform [J]. Journal of Engineering Design, 2009, 16(3): 227-229.

Google Scholar

[2] LI Ming, GUO Dongmin, QUAN Jianfeng, et al. Improved Half-soft threshold De-noising Based on Lifting Wavelet [J]. Journal of Detection and Control, 2009, 31(4): 54-57.

Google Scholar

[3] ZHOU Zhijin, WEN Zejun, BU Yingyong. Application study of wavelet analysis on ultrasonic echo wave noise reductinn [J]. Chinese Journal of Scientific Instrument, 2009, 30(2): 237-241.

Google Scholar

[4] ZHOU Xifeng,XIAO Wu, GUO Qiangang. Ultrasonic Signal De-noising Based on Lifting Wavelet [J]. Journal of Detection & Control, 2012, 34(4): 43-46.

Google Scholar

[5] ZHOU Xifeng, ZHU Wenwen, GUO Qiangang. The de-noising of ultrasonic signal based on asymptotic semi-soft thresholding function [J]. Journal of Detection & Control, 2011, 33(2): 35-39.

Google Scholar

[6] CHEN Yuan. Study on ultrasonic signal de-noising based on lifting wavelet transform with improved threshold function [J]. Chinese Journal of Control & Detection, 2010, 9 : 48-51.

Google Scholar

[7] LIU Yunxia, YANG Guoshi, JIA Qun. Adaptive Noise Reduction for Chaotic Signals Based on Dual-Lifting Wavelet Transform [J]. ACTA ELECTRONICA SINICA, 2011, 39(1): 13-17.

Google Scholar