The traditional analysis of a signal is based on Fourier or wavelet decompositions using basis functions. Since the latter are fixed, they do not necessarily match the varying nature (non stationarity and nonlinearity) of the signal in geosciences. This calls for an analysis requiring data-driven methods, without a priori assumptions basis, i.e. analytical methods using adaptive bases that are derived from the data and appropriate to describe their multi-scale behavior. For this purpose, the Empirical Mode Decomposition (EMD) has been suggested to study nonlinear and nonstationary data.
This session will cover the several applications of this technique in different geosciences fields: geophysics (seismic, gravity/magnetic, electromagnetism/magnetotelluric, etc.), geology, hydrogeology, geodesy/topography, etc.