Canonical representation

Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing

Series	Geophysical References Series
Title	Digital Imaging and Deconvolution: The ABCs of Seismic Exploration and Processing
Author	Enders A. Robinson and Sven Treitel
Chapter	7
DOI	http://dx.doi.org/10.1190/1.9781560801610
ISBN	9781560801481
Store	SEG Online Store

What is the canonical representation of a causal wavelet? Let $w_{M}$ be the minimum-phase wavelet with the same amplitude spectrum as that of the causal wavelet w. Then $w_{M}$ is called the minimum-phase counterpart of w. The canonical representation' states that any causal wavelet w can be represented as the convolution of its minimum-phase counterpart $w_{M}$ and a causal all-pass wavelet p; that is,

${\begin{aligned}&w=w_{M}*p.\end{aligned}}$

(58)

Because the inverse of a minimum-phase wavelet is minimum phase, it follows that $W_{M}^{-1}$ is minimum phase and hence is causal. From the canonical representation, we see that the inverse wavelet is given by

${\begin{aligned}&w^{-1}=w_{M}^{-1}*p^{-{l}}.\end{aligned}}$

(59)

Two cases can occur. In the first case, the causal wavelet w is itself minimum phase. Then the causal all-pass wavelet is trivial, so the inverse wavelet is simply $w^{-{1}}=w_{M}^{-{1}}$. In this case, the inverse wavelet is minimum phase and causal.

In the second case, the causal wavelet w is not minimum phase. Then the causal all-pass wavelet p is not trivial and therefore its inverse $p^{-1}=p^{R}$ is a one-sided noncausal wavelet. In this case, the inverse wavelet $w^{-1}$ is a two-sided noncausal wavelet.

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Table of Contents (book)

Also in this chapter

• Wavelets
• Fourier transform
• Z-transform
• Delay: Minimum, mixed, and maximum
• Two-length wavelets
• Illustrations of spectra
• Delay in general
• Energy
• Autocorrelation
• Zero-phase wavelets
• Symmetric wavelets
• Ricker wavelet
• Appendix G: Exercises

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