Extraction of a Signal by Using Cross-correlation of Ambient Seismic Noise
Author(s) -
TaeSeob Kang
Publication year - 2011
Publication title -
physics and high technology
Language(s) - English
Resource type - Journals
ISSN - 1225-2336
DOI - 10.3938/phit.20.032
Subject(s) - cross correlation , extraction (chemistry) , signal (programming language) , noise (video) , ambient noise level , correlation , seismic noise , computer science , acoustics , geology , seismology , statistics , artificial intelligence , physics , mathematics , chemistry , chromatography , geometry , image (mathematics) , programming language , sound (geography)
Ambient seismic noise has often been considered to be a useless part of a seismogram, thus being discarded as part of traditional seismic data processing. Recent developments in seismic imaging theory have verified a long-standing postulate concerning the recovery of the useful signal from ambient seismic noise. One may retrieve the impulse response function between two receivers through a cross-correlation of noise at the two receivers. Theoretically and experimentally, a random wavefield has been shown to have correlations to a Green’s function representing characteristics of the media. The Green’s functions extracted by cross-correlating long sequences of ambient seismic noise can be used to obtain information about the structure of media.
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