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

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A. Bottero
Y. Cansi
B. Massinon

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%.

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How to Cite
1.
Bottero A, Cansi Y, Massinon B. Automatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks. Ann. Geophys. [Internet]. 1994Nov.25 [cited 2021Dec.4];37(5). Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/4187
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