THE ARTIFICIAL NEURAL NETWORK ADAPTIVE FILTER FOR THE ULTRASONIC NONDESTRUCTIVE TESTING SIGNALS OF COARSE GRAINED MATERIALS

NDTnet

WCNDT '96 - New Delhi
Table of Contents

UT - Full Paper Not Received

THE ARTIFICIAL NEURAL NETWORK ADAPTIVE FILTER FOR THE ULTRASONIC NONDESTRUCTIVE TESTING SIGNALS OF COARSE GRAINED MATERIALS

Liu Zhenqing, Liang Sui*, LuMingda**, Wei Moan*
*Institute of Acoustics, TongJi University, Shanghai 200092, P. R. China 1239, SIPIN Road
**Department of Electrical Engineering, TongJi University Shanghai 200092, P. R. China

Keywords: coarse grained materials, ultrasonic, NDT, artificial neural network, adaptive filter

ABSTRACT

Acknowledgment This work was supported by the National Natural Science Foundation P. R. China and Shanghai Municipal Education Committee for Scientific Research REFERENCES

Bigutay N. M., et al, Analysis of Non-linear Frequency Diverse Clutters Suppression Algorithm, Ultrasonics, 1990, 28(1): 90-96
Zhu Y. and Weight J. P., Ultrasonic Nondestructive Evaluation of Highly Scattering Materials Using Adaptive Filtering and Detection, IEEE Trans: UFFC, 1994, 41(1): 26-33

UT - Full Paper Not Received

Publication Source: Trends in NDE Science & Technology; Proceedings of the 14th World Conference on Non-Destructive Testing, New Delhi, 8-13 December 1996.full paper not received
Publisher: Ashgate Publishing Company