1887
Volume 25 Number 1
  • E-ISSN: 1365-2478

Abstract

A

Optimum stacking filters based on estimates of trace signal‐to‐uncorrelated noise ratios are assessed and compared in performance with conventional straight stacking. It is shown that for the trace durations and signal bandwidths normally encountered in seismic reflection data the errors in estimating signal/noise ratios largely counteract the theoretical advantages of the optimum filter. The more specific the filter (e.g. the more frequency components included in its design) the more this is true. Even for a simple weighted stack independent of frequency, the performance is likely to be better than a straight (equal weights) stack only for relatively high signal/noise ratios, when the performance is not critical anyway.

Loading

Article metrics loading...

/content/journals/10.1111/j.1365-2478.1977.tb01159.x
2006-04-27
2024-04-20
Loading full text...

Full text loading...

References

  1. Green, P. E., Kelly, E. J., and Levin, M. J., 1966, A Comparison of Seismic Array Processing Methods, Geophys. J. Roy. Astr. Soc., 11, 67–84.
    [Google Scholar]
  2. Kendall, M. G., and Stuart, A., 1963, The Advanced Theory of Statistics, Volume 1, Griffin, London .
    [Google Scholar]
  3. Robinson, J. C., 1970, Statistically Optimal Stacking of Seismic Data, Geophysics35, 436–446.
    [Google Scholar]
  4. Shumway, R. H., and Dean, W. C., 1968, Best Linear Unbiased Estimation for Multivariate Stationary Processes, Technometrics10, 523–534.
    [Google Scholar]
  5. White, R. E., 1973, The Estimation of Signal Spectra and Related Quantities by Means of the Multiple Coherence Function, Geophys. Prosp.21, 660–703.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.1111/j.1365-2478.1977.tb01159.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