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http://hdl.handle.net/2122/1879| Authors: | Bottero, A.* Cansi, Y.* Massinon, B.* |
Title: | Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks | Issue Date: | Sep-1994 | Series/Report no.: | 5/37 (1994) | URI: | http://hdl.handle.net/2122/1879 | Keywords: | neural networks mini-array automatic seismic processing |
Subject Classification: | 04. Solid Earth::04.06. Seismology::04.06.10. Instruments and techniques 05. General::05.06. Methods::05.06.99. General or miscellaneous |
Abstract: | We present a new method for automatic processing of mini-array records of regional events. It is based on a comprehensive analysis of the cross-correlation functions. This leads to a set of time-delays used to compute the azimuth and velocity of the travelling wave only in case of consisteney of the time-delay set. The second step takes into account the time-frequency representations of these wave parameters to identify each regional wave using a neural network. The resulting standard error on azimuth is 3° and the relative error on distance is less than 20%. |
| Appears in Collections: | Annals of Geophysics |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 09 bottero.pdf | 1.85 MB | Adobe PDF | View/Open |
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