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2-D Coherent Signal Processing: The Adaptive Slowness Approach

AutorVentosa, Sergio ; Simon, Carine ; Dañobeitia, Juan José ; Schimmel, Martin ; Mànuel, Antoni
Palabras clavef-k filters
Spatial averaging filter
Radon transform
Fecha de publicación2007
EditorACTA Press
CitaciónSPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications: 158-163 (2007)
ResumenIn geophysics, the frequency-wave number (f–k) filter is a common tool which allows to distinguish between seismic phases through their apparent velocity. However, this filter is 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 timespace resolution. In order to solve this limitation, we introduce 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
DescripciónFourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications (SPPRA '07), 14-16 February 2007, Innsbruck, Austria.-- 6 pages, 4 figures
Versión del editorhttp://dl.acm.org/citation.cfm?id=1710553
Identificadoresisbn: 978-0-88986-647-8
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