Feasibility of Deep Learning in Shear Wave Splitting analysis using Synthetic-Data Training and Waveform Deconvolution
Teleseismic shear-wave splitting analyses are often performed by reversing the splitting process through the application of frequency- or time-domain operations aimed at minimizing the transverse-component energy of waveforms. These operations yield two splitting parameters, ɸ (fast-axis orientation...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
McGill University
2024-03-01
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| Series: | Seismica |
| Subjects: | |
| Online Access: | https://seismica.library.mcgill.ca/article/view/1124 |