Open AccessAutomatic processing of seismic events recorded on a mini-array Signal analysis combined with neural networks
Author(s) -
Alexis Bottero,
Yves Cansi,
B. Massi
Publication year - 1994
Publication title -
annals of geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 60
eISSN - 2037-416X
pISSN - 1593-5213
DOI - 10.4401/ag-4187
Subject(s) - azimuth , set (abstract data type) , artificial neural network , signal (programming language) , signal processing , computer science , algorithm , data set , geology , array processing , geodesy , seismology , acoustics , artificial intelligence , telecommunications , mathematics , geometry , physics , radar , programming language
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%