Seismic signals consist of several typically short energy bursts, waves, exhibiting several patterns in terms of dominant frequency, amplitude and polarisation. Amongst others, a significant wave is the S-wave. To detect such S-waves one can use conventional techniques that are based on physical differences between the several waves appearing in the seismic signal. In this paper we combine a conventional technique with the recently introduced Empirical Mode Decomposition, a non-linear signal analysis tool. By means of two examples a comparison of this new approach is made with both conventional techniques and the wavelet-based approach, which was proposed by the same author in an earlier paper.

None of the above, but in MSC2010 section 42Cxx (msc 42C99), Seismology (msc 86A15), Signal theory (characterization, reconstruction, filtering, etc.) (msc 94A12), Detection theory (msc 94A13)
CWI. Probability, Networks and Algorithms [PNA]

Oonincx, P.J. (2002). Empirical mode decomposition: a new tool for S-wave detection. CWI. Probability, Networks and Algorithms [PNA]. CWI.