DocumentCode
943323
Title
A comparison of deconvolution techniques for the ultrasonic nondestructive evaluation of materials
Author
Sin, Sam-Kit ; Chen, Chi-Hau
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
Volume
1
Issue
1
fYear
1992
fDate
1/1/1992 12:00:00 AM
Firstpage
3
Lastpage
10
Abstract
Several major deconvolution techniques commonly used for seismic applications are studied and adapted for ultrasonic NDE (nondestructive evaluation) applications. Comparisons of the relative merits of these techniques are presented based on a complete set of simulations on some real ultrasonic pulse echoes. Methods that rely largely on a reflection seismic model, such as one-at-a-time L 1 spike extraction and MVD (minimum variance deconvolution), are not suitable for the NDE applications discussed here because they are limited by their underlying model. L 2 and Wiener filtering, on the other hand, do not assume such a model and are, therefore, more flexible and suitable for these applications. The L 2 solutions, however, are often noisy due to numerical ill conditions. This problem is partially solved in Wiener filtering, simply by adding a constant desensitizing factor q . The computational complexities of these Wiener filtering-based techniques are relatively moderate and are, therefore, more suitable for potential real-time implementations
Keywords
acoustic signal processing; filtering and prediction theory; ultrasonic materials testing; MVD; Wiener filtering; computational complexities; deconvolution; desensitizing factor; minimum variance deconvolution; reflection seismic model; simulations; ultrasonic NDE; ultrasonic materials testing; ultrasonic nondestructive evaluation; ultrasonic pulse echoes; Computer displays; Data mining; Deconvolution; Geometry; Inspection; Military computing; Signal processing; Silicon compounds; Ultrasonic transducers; Wiener filter;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.128026
Filename
128026
Link To Document