Eliminated aliasing effect on wavelet transform based multiresolution analysis

被引：4
|
作者：
Gonzalez-Flores, Ernesto [1 ,2 ]
Oscar Campos-Enriquez, Jose [3 ]
Camacho-Ramirez, Erick [2 ,4 ]
Ernesto Rivera-Recillas, David [1 ]
机构：
[1] Inst Mexicano Petr, Mexico City, DF, Mexico
[2] Univ Nacl Autonoma Mexico, Posgrad Ciencias Tierra, Ciudad Univ, Mexico City 04510, DF, Mexico
[3] Univ Nacl Autonoma Mexico, Inst Geofis, Ciudad Univ, Mexico City 04510, DF, Mexico
[4] Petr Mexicanos, Act Prod Samaria Luna Reg, Mexico City, DF, Mexico
来源：
GEOFISICA INTERNACIONAL | 2016年 / 55卷 / 03期
关键词：
multiresolution analysis; spectral decomposition; discrete wavelet transform;
D O I：
10.19155/rgi20165531611
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
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.
引用
收藏
页码：189 / 198
页数：10
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