DocumentCode :
454914
Title :
Low Redundancy Oversampled Lapped Transforms and Application to 3D Seismic Data Filtering
Author :
Gauthier, Jérôme ; Duval, Laurent ; Pesquet, Jean-Christophe
Author_Institution :
Inst. Francais du Pet., Rueil-Malmaison
Volume :
2
fYear :
2006
fDate :
14-19 May 2006
Abstract :
In a previous work, we proposed a relatively simple method to build non separable perfect reconstruction oversampled lapped transforms. The main drawback of this method was that the redundancy factor was constrained to be equal to the overlapping one. This constitutes a strong limitation for applications such as seismic processing involving three-dimensional data sets. The memory requirements may indeed become hard to meet if the redundancy is not reduced. In this paper, we propose an approach to guarantee that a given lapped transform is invertible by a finite length filter bank. We show how to compute a corresponding synthesis filter bank. The proposed analysis/synthesis filter bank system is applied to directional filtering of noisy three-dimensional seismic data
Keywords :
channel bank filters; filtering theory; geophysical signal processing; signal reconstruction; signal sampling; transforms; 3D seismic data filtering; directional filtering; finite length filter bank; low redundancy oversampled lapped transforms; noisy three-dimensional seismic data; nonseparable perfect reconstruction; redundancy factor; seismic processing; synthesis filter bank; three-dimensional data sets; Data analysis; Filter bank; Filtering; Geology; Image reconstruction; Noise reduction; Sea surface; Sensor arrays; Signal analysis; Signal synthesis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660469
Filename :
1660469
Link To Document :
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