Method of Ultrasonic Signal De-Noising Based on Lifting Wavelet Improved Threshold-Reference-Cited by-同舟云学术

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

Published:2014-02-06 Issue: Volume:513-517 Page:3818-3821
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Bi Zhou Yang¹,Chen Jian Hui¹,Ju Wen Jie¹,Wang Ming¹,Li Ji Chen¹

Affiliation:

1. Mechanical Engineering College

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.513-517.3818.pdf

Reference7 articles.

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

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.

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.

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.

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.