Abstract
By means of the inverse Fourier transform, an easy way to design convolutional differentiators is introduced. The tapered differentiators have the same form as a high-order finite difference (FD) operator, and share some of the advantages of both the conventional FD and Fourier methods. The differentiators have been implemented for 2-D zero-offset and common-source seismic modeling. Results using filters with as few as five points are acceptable. Accuracy of the convolutional differentiator approach is appreciably better than that of the fourth-order FD method. The method can readily be extended to elastic wave field modeling. -from Authors
| Original language | English |
|---|---|
| Pages (from-to) | 289-303 |
| Number of pages | 15 |
| Journal | Bulletin of the Seismological Society of America |
| Volume | 82 |
| Issue number | 1 |
| State | Published - 1992 |
ASJC Scopus subject areas
- Geophysics
- Geochemistry and Petrology
Fingerprint
Dive into the research topics of 'Seismic scalar wave equation modeling by a convolutional differentiator'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver