1887
Volume 34 Number 8
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Analysis of the phase spectra from the signatures, impulse responses and other wavelets observed in seismic data leads to the construction of equivalent minimum‐phase functions. The accuracy of such computations using digitally sampled data is questioned with special reference to Texas Instruments DFS IV and DFS V recording filters. Results vary with the lengths and sample rates of the time functions, and further errors may be introduced when implementing the Hilbert transform. Such problems are related to poor resolution in the low amplitude areas of the spectrum. Techniques for correction are described. With appropriate shaping a reasonably accurate phase spectrum may be computed for the minimum‐phase function. The generation of minimum‐phase wavelets within the processing sequence is briefly discussed.

Loading

Article metrics loading...

/content/journals/10.1111/j.1365-2478.1986.tb00523.x
2006-04-27
2024-04-19
Loading full text...

Full text loading...

References

  1. dfsiv
    dfsiv Performance Manual No. 248499–9701, 1970.
  2. dfsv
    dfsv Performance Manual No. 966180–9701, 1975.
  3. Oppenheim, A.V. and Schafer, R.W.1975. Digital Signal Processing, Chap. 7, Prentice‐Hall, New Jersey .
    [Google Scholar]
  4. Peacock, K.L. and Treitel, S.1969. Predictive deconvolution: theory and practice, Geophysics34, 155–169.
    [Google Scholar]
  5. Potts, M., Schleicher, K., Wason, C. and Ellender, S.1982. Prestack wavelet deconvolution, Extended Abstracts, 52nd Annual SEG meeting, Dallas.
http://instance.metastore.ingenta.com/content/journals/10.1111/j.1365-2478.1986.tb00523.x
Loading
  • Article Type: Research Article

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error