2-D Coherent Signal Processing: The Adaptive Slowness Approach

S. Ventosa, C. Simon, J.J. Dañobeitia, M. Schimmel, and A. Mànuel (Spain)


f–k filters,Radon transform, coherency, slowness, spatial averaging filter.


In geophysics, the frequency-wave number (f–k) filteris a common tool which allows to distinguish between seis mic phases through their apparent velocity. However, this filteris based on a two dimensional Fourier transform, so it is not well adapted to the non-stationary nature of 2-D signals present in geophysics, because of its lack of time space resolution. In order to solve this limitation, we in troduce a new tool called adaptive slowness filter, inspired by spatial averaging and Radon filters. Our procedure can attenuate undesired signals with a known slowness (inverse of velocity) and time-distance location, while mantaining the other signals with different location or slowness with minimal distortion.

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