Local Time Slowness Adaptive Filter and Optimal Window Strategies
The local slant-stack transform (LSST) is a technique commonly used in seismic data processing to filter complex seismic waves, when the τ-p transform and the f-k filters cannot be used. To automatically adapt the characteristics of the filters based on the LSST to the slowness variation of the wave...
Saved in:
| Published in: | EAGE Conference and Exhibition incorporating SPE EUROPEC |
|---|---|
| Main Author: | |
| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10261/39531 https://doi.org/10.3997/2214-4609.201401248 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: Local Time Slowness Adaptive Filter and Optimal Window Strategies
- Window length selection for optimum slowness resolution of the local-slant-stack transform
- Adaptative filter for seismic signals of variable slowness
- Adaptive multiple subtraction with wavelet-based complex unary Wiener filters
- ADAPTIVE SIGNAL DECOMPOSITION AND FILTERING USING BINOMIAL FILTERS APPLIED TO THE GROUND-ROLL ATTENUATION
- Polarization analysis in the wavelet domain based on the adaptive covariance method
- Time window-size dependence analysis for the minimum semblance approach