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Author(s) (2007), Title, Eos Trans. AGU, 88(52), Fall
Meet. Suppl., Abstract xxxxx-xx
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kulesh
HR: 1340h AN: S43B-1300 TI: Geophysical Wavelet
Library: Applications of the Continuous Wavelet Transform to the
Polarization and Dispersion Analysis of Signals AU: * Kulesh, M EM: mkulesh@math.uni-potsdam.de AF: Institute for Mathematics, University of Potsdam, Am Neuen Palais
10, Potsdam, 14469, Germany AU: Holschneider,
M EM: hols@math.uni-potsdam.de AF:
Institute for Mathematics, University of Potsdam, Am Neuen
Palais 10, Potsdam, 14469, Germany AB: Surface
wave propagation in heterogeneous media can provide a valuable source of
information about the subsurface structure and its elastic properties. The
processing of experimental seismic data sets related to the surface waves
is computationally expensive and requires sophisticated techniques in
order to infer the physical properties and structure of the subsurface
from the bulk of available information. Most of the previous studies
related to these problems are based on Fourier analysis. However, the
frequency- dependent measurements, or time-frequency analysis offer
additional insight and performance in any applications where Fourier
techniques have been used. This analysis consists of examining the
variation of the frequency content of a signal with time and is
particularly suitable in geophysical applications. The continuous wavelet
transform gives a suitable general framework for solving these types of
problems; this approach is powerful and elegant, but is not the only
available for the practical applications. Other methods such as the Gabor
transform, the S-transform or bilinear transforms can be used as well. The
relative performance of time-frequency analysis from different approaches
is primarily controlled by the frequency resolution capability. To perform
the time-frequency analysis of digital seismic data, we propose in this
contribution a new free software package developed by the authors and
based on the continuous wavelet transform. This package allows to perform
the direct and inverse continuous wavelet transform, 2C and 3C
polarization analysis and filtering, modeling the dispersed and attenuated
wave propagation in the time-frequency domain and optimization in signal
and wavelet domains. The aim of these operations is to extract
polarization properties, velocities and attenuation parameters from a
seismogram. The novelty of this package is that we incorporate the
continuous wavelet transform into the library where the kernel is the
time-frequency polarization and dispersion analysis. This library has a
wide range of potential applications that we illustrate with the analysis
of synthetic and real data. UR: http://users.math.uni-potsdam.de/~gwl DE: 0520 Data analysis: algorithms and
implementation DE: 0902 Computational methods:
seismic DE: 3280 Wavelet transform (3255,
4455) DE: 3285 Wave propagation (0689, 2487,
4275, 4455, 6934) DE: 7290 Computational
seismology SC: Seismology [S] MN: 2007 Fall Meeting