Wavelets and Their Application to Digital Signal Processing in Ultrasonic NDE

  • D. M. Patterson
  • B. DeFacio
  • Steven P. Neal
  • Charles R. Thompson

Abstract

As the use of digital based ultrasonic testing systems becomes more prevalent, there will be an increased emphasis on the development of digital signal processing techniques. In the past, various Fourier based digital signal processing approaches have been formulated and applied in the ultrasonic nondestructive evaluation (NDE) research community. In many cases, the inherent inability of Fourier methods to handle non-stationary signals has been exposed as the Fourier methods are applied to non-stationary ultrasonic signals. Our intent is to investigate the application of wavelet based signals processing techniques to a variety of problems in ultrasonic NDE. Wavelet methods have a number of potential advantage over Fourier methods including the inherent ability of wavelets to deal with non-stationary signals.

Keywords

Digital Signal Processing Acoustic Noise Fourier Method Wiener Filter Inherent Inability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Plenum Press, New York 1993

Authors and Affiliations

  • D. M. Patterson
    • 1
  • B. DeFacio
    • 1
  • Steven P. Neal
    • 2
  • Charles R. Thompson
    • 3
  1. 1.Department of Physics and AstronomyMissouri UniversityColumbiaUSA
  2. 2.Department of Mechanical and Aerospace EngineeringMissouri UniversityColumbiaUSA
  3. 3.Office of Directed Energy LasersArmstrong LaboratoryBrooks AFBUSA

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