Information - NP4.05 Wavelet and time-frequency analysis in the earth sciences
Event Information
Many natural processes of great interest are neither periodic nor stationary.
Wavelet and time-frequency (or time-scale) analysis therefore holds much
potential for earth scientists. Despite the vast array of new methods which have
emerged over the past decade, there is substantial scope for broader application
of these methods to real-world problems, as well as for the development of
further mathematical tools to address outstanding physical questions.
The purpose of this session is to survey the most promising methods for the
earth sciences, and to highlight specific examples of practical applications.
Several areas of special interest are:
--- nonstationary stochastic modelling
--- extraction of signals immersed in noise
--- wavelet decompositions in two and three dimensions
--- multiple-window methods.
Statistical considerations are particularly encouraged.
Preliminary List of Solicited Speakers
Marie Farge (Laboratoire de Météorologie Dynamique, Ecole Normale Supérieure)
Patrick Flandrin (Laboratoire de Physique, Ecole Normale Supérieure de Lyon)
Alfred Hanssen (Department of Physics, University of Tromsø)
Matthias Holschneider (Institut für Mathematik, Universität Potsdam)
Frederik J. Simons (Department of Earth Sciences, University College London)
David J. Thomson (Department of Mathematics and Statistics, Queen's University)
Andrew T. Walden (Department of Mathematics, Imperial College London)
Co-Sponsorship
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