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.
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© 2001 Springer Science+Business Media Dordrecht
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Oonincx, P.J., Sleeman, R., van Eck, T. (2001). An Application of the DWT in Seismic Data Analysis. In: Petrosian, A.A., Meyer, F.G. (eds) Wavelets in Signal and Image Analysis. Computational Imaging and Vision, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9715-9_16
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DOI: https://doi.org/10.1007/978-94-015-9715-9_16
Publisher Name: Springer, Dordrecht
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