Decomposition of seismic signals via time-frequency representations

Files in this item

Files Size Format View
Tob1996Non5Decomposit.PDF 1.503Mb application/pdf Thumbnail
Tob1996Non5Decomposit.PS 1.089Mb application/postscript View/Open

Show full item record

Item Metadata

Title: Decomposition of seismic signals via time-frequency representations
Author: Tobback, Tom; Steeghs, Philippe; Drijkoningen, Guy G; Fokkema, Jacob T
Type: Conference paper
xmlui.Rice_ECE.Keywords: geophysics
Citation: T. Tobback, P. Steeghs, G. G. Drijkoningen and J. T. Fokkema, "Decomposition of seismic signals via time-frequency representations," 1996.
Abstract: In this paper we discuss the use of a time-frequency representation, the Wigner distribution, for the decomposition and characterization of seismic signals. The advantage of the Wigner distribution over other representations, such as the wavelet and sliding window Fourier transform, is its sharp localization properties in the time-frequency plane. However, the Wigner distribution is a not a linear transformation. This non-linearity complicates the use of the Wigner distribution for time-frequency filtering and decomposition. We present an optimization method for the reconstruction of a time signal from its Wigner distribution. The reconstruction technique enables a decomposition of a signal into its time-frequency components, where the reconstructed components are stripped off from the signal one by one. The method is illustrated a real data example. We also demonstrate how the decomposition can be used for suppression and enhancement of events in the time-frequency plane.
Date Published: 1996-01-15

This item appears in the following Collection(s)

  • ECE Publications [1054 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.