Fast algorithm for directional time-scale analysis using wavelets

Robertus A. Zuidwijk; Paul M. de Zeeuw

doi:10.1117/12.328139

19 October 1998 Fast algorithm for directional time-scale analysis using wavelets

Robertus A. Zuidwijk, Paul M. de Zeeuw

Proceedings Volume 3458, Wavelet Applications in Signal and Imaging Processing VI; (1998) https://doi.org/10.1117/12.328139
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Robertus A. Zuidwijk and Paul M. de Zeeuw "Fast algorithm for directional time-scale analysis using wavelets", Proc. SPIE 3458, Wavelet Applications in Signal and Imaging Processing VI, (19 October 1998); https://doi.org/10.1117/12.328139

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