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An Application of the DWT in Seismic Data Analysis

  • P. J. Oonincx
  • R. Sleeman
  • T. van Eck
Part of the Computational Imaging and Vision book series (CIVI, volume 19)

Abstract

Seismicc signals consist of several typically short energy bursts, called phases, exhibiting several patterns in terms of dominant frequency, amplitude and polarisation. We present a fast algorithm to detect the so-called S-phase in a three-component seismic signal. This new approach combines traditional S-phase detection methods and the discrete wavelet transform.

Keywords

Arrival Time Discrete Wavelet Transform Window Length Seismic Signal Wavelet Filter 
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

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • P. J. Oonincx
    • 1
  • R. Sleeman
    • 2
  • T. van Eck
    • 2
  1. 1.CWIAmsterdamThe Netherlands
  2. 2.Dept. of SeismologyKNMIDe BiltThe Netherlands

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