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Proceedings Paper

Fast algorithm for directional time-scale analysis using wavelets
Author(s): Robertus A. Zuidwijk; Paul M. de Zeeuw
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Paper Abstract

Fast algorithms performing time-scale analysis of multivariate functions are discussed. The algorithms employ univariate wavelets and involve a directional parameter, namely the angle of rotation. Both the rotation steps and the wavelet analysis/synthesis steps in the algorithms require a number of computations proportional to the number of data involved. The rotation and wavelet techniques are used for the segregation of wanted and unwanted components in a seismic signal. As an illustration, the rotation and wavelet methods are applied to a synthetic shot record.

Paper Details

Date Published: 19 October 1998
PDF: 10 pages
Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); doi: 10.1117/12.328139
Show Author Affiliations
Robertus A. Zuidwijk, Ctr. for Mathematics and Computer Science (Netherlands)
Paul M. de Zeeuw, Ctr. for Mathematics and Computer Science (Netherlands)

Published in SPIE Proceedings Vol. 3458:
Wavelet Applications in Signal and Imaging Processing VI
Andrew F. Laine; Michael A. Unser; Akram Aldroubi, Editor(s)

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