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Título

2-D Coherent Signal Processing: The Adaptive Slowness Approach

Autor Ventosa, Sergio ; Simon, Carine ; Dañobeitia, Juan José ; Schimmel, Martin ; Mànuel, Antoni
Palabras clave f–k filters
spatial averaging filter
coherency
slowness
radon transform
Fecha de publicación 2007
EditorACTA Press
Citación SPPRA '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
Descripción Fourth 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
URI http://hdl.handle.net/10261/107745
Identificadoresisbn: 978-0-88986-647-8
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