Earth-prints: Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks

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Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1879

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Title:	Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks
Authors:	Bottero, A.^* Cansi, Y.^* Massinon, B.^*
Keywords:	neural networks mini-array automatic seismic processing
Issue Date:	Sep-1994
Series/Report no.:	37/5
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%.
URI:	http://hdl.handle.net/2122/1879
Appears in Collections:	Annals of Geophysics 05.06.99. General or miscellaneous 04.06.10. Instruments and techniques

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