Eliminated aliasing effect on wavelet transform based multiresolution analysis

Multiresolution analysis, based on the discrete wavelet transform, is here incorporated in seismic signal processing. This analysis technique enables decomposing a seismic signal, in different frequency bands, and thus to analyze the information contained in these frequency bands. Multiresolution an...

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Bibliographic Details
Published inGeofísica internacional Vol. 55; no. 3; pp. 189 - 198
Main Authors González-Flores, Ernesto, Campos-Enríquez, José Oscar, Camacho-Ramírez, Erick, Rivera-Recillas, David Ernesto
Format Journal Article
LanguagePortuguese
Published Instituto de Geofísica, UNAM 01.09.2016
Subjects
Geochemistry & Geophysics
spectral decomposition
discrete wavelet transform
descomposición espectral
transformada ondicular discreta
multiresolution analysis
análisis multiresolución
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Summary:Multiresolution analysis, based on the discrete wavelet transform, is here incorporated in seismic signal processing. This analysis technique enables decomposing a seismic signal, in different frequency bands, and thus to analyze the information contained in these frequency bands. Multiresolution analysis allows visualizing in the time domain the information contained in the frequency bands. Wavelets commonly used in the discrete wavelet transform present an overlay between scales, this constitutes an aliasing effect that gives rise to spurious effects. Vaidyanathan wavelet minimizes the overlay between scales. We applied this wavelet to synthetic data and to a 3D seismic cube. Accordingly, spurious effects from aliasing generated by overlay between scales are minimized with the Vaidyanathan wavelet.
ISSN:0016-7169
DOI:10.19155/rgi20165531611