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Please use this identifier to cite or link to this item: 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.: 37/5
URI: http://hdl.handle.net/2122/1879
Keywords: neural networks
mini-array
automatic seismic processing
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:05.06.99. General or miscellaneous
04.06.10. Instruments and techniques
Annals of Geophysics

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