• 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 L1 spike extraction and MVD (minimum variance deconvolution), are not suitable for the NDE applications discussed here because they are limited by their underlying model. L2 and Wiener filtering, on the other hand, do not assume such a model and are, therefore, more flexible and suitable for these applications. The L2 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