Research of Wavelet Packet Analysis in the De-Noising of Ultrasonic Echo Signal

Article Preview

Abstract:

The quality of ultrasonic flaw echo signal is the foundation of achieving qualitative and quantitative analysis in the in ultrasonic flaw detection. In practice, the flaw echo signals are often contaminated or even annihilation by random noise. According to the characteristics of ultrasonic flaw echo signal, wavelet packet has more accurate local analysis ability in low frequency and high frequency part. This paper discusses de-noising in ultrasonic signals based on wavelet packet analysis, and proposes an improved threshold approach for de-noising. The results show that: It remarkably raises the signal-to-noise ratio of ultrasonic flaw echo signal and improves the quality of signal with improved wavelet packet threshold.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

1817-1822

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D.L. Donoho. De-noising by soft-thresholding[J]. IEEE. Tra-ns. on IT, 1995, 41(3): 613-627.

DOI: 10.1109/18.382009

Google Scholar

[2] D.L. Donoho, I.M. Johnstone. Ideal spatial adaptati-on via wavelet shrinkage[J]. Biometrika, 1994, 81(12): 425-455.

DOI: 10.1093/biomet/81.3.425

Google Scholar

[3] Wei-Yun Zhang. Study in Modeling of Ultrasonic Testing System[J]. Computer Simulation, 2006, (23) : 78~80.

Google Scholar

[4] Xian-Da Zhang, Bao-Zheng. Non-stationary signal analysis and processing [M]. Beijing: National Defence Industry Press, 1998. 277-284.

Google Scholar

[5] Jin-Tai Cui[United States] book, Zheng-xing Cheng Translation. Introduction to Wavelet Analysis[M]. Xi'an: Xi'an Jiaotong University Press, (1992).

Google Scholar

[6] Zheng-Xing Cheng, Shou-Zhi Yang, Xiao-Xia Feng. Progress and application in theory of algorithms of wavelet analysis[M]. Beijing: National Defence Industry Press, 2007. 7.

Google Scholar

[7] Ming-Cai Liu. Wavelet Analysis and Applications[M]. Beijing: Tsinghua University Press, 2005. 9.

Google Scholar

[8] Zhe-Xue Ge, Sha-Wei. Wavelet analysis theory and MATLAB R2007 [M]. Beijing: Electronic Industry Press, (2007).

Google Scholar