Classification of NDE Waveforms with Autoregressive Models

  • R. B. Melton
Part of the Library of Congress Cataloging in Publication Data book series (volume 2A)

Abstract

This paper describes a new approach for classifying NDE waveforms. Using this approach a set of matched filters is constructed one for each category of waveform, based on parameters from autoregressive models. The method offers advantages in terms of hardware implementation over conventional pattern recognition approaches. Feasibility is shown using computer generated data. Results are then presented for real data from acoustic emission experiments.

Keywords

Entropy Fatigue Lution Geophysics Reso 

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Copyright information

© Plenum Press, New York 1983

Authors and Affiliations

  • R. B. Melton
    • 1
  1. 1.Pacific Northwest LaboratoryRichlandUSA

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