Eliminated aliasing effect on wavelet transform based multiresolution analysis
Autor: | Ernesto González-Flores, David Ernesto Rivera-Recillas, J. O. Campos-Enríquez, Erick Camacho-Ramírez |
---|---|
Rok vydání: | 2016 |
Předmět: |
Discrete wavelet transform
Signal processing Multiresolution analysis ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Geometry Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Synthetic data General Energy Geophysics Wavelet Aliasing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Time domain Algorithm 0105 earth and related environmental sciences Mathematics |
Zdroj: | Geofísica Internacional. 55 |
ISSN: | 0016-7169 |
DOI: | 10.22201/igeof.00167169p.2016.55.3.1721 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |