We introduce a method for computing instantaneous-polarization attributes
from multicomponent signals. This is an improvement on the standard
covariance method (SCM) because it does not depend on the window
size used to compute the standard covariance matrix. We overcome
the window-size problem by deriving an approximate analytical formula
for the cross-energy matrix in which we automatically and adaptively
determine the time window. The proposed method uses polarization
analysis as applied to multicomponent seismic by waveform separation
and filtering.
%0 Journal Article
%1 diallo_etal:2006
%A Diallo, Mamadou S.
%A Kulesh, Michail
%A Holschneider, Matthias
%A Kurennaya, Kristina
%A Scherbaum, Frank
%D 2006
%I SEG
%J Geophysics
%K geophysics seismics seismology
%N 5
%P V99--104
%R 10.1190/1.2227522
%T Instantaneous polarization attributes based on an adaptive approximate
covariance method
%U http://dx.doi.org/10.1190/1.2227522
%V 71
%X We introduce a method for computing instantaneous-polarization attributes
from multicomponent signals. This is an improvement on the standard
covariance method (SCM) because it does not depend on the window
size used to compute the standard covariance matrix. We overcome
the window-size problem by deriving an approximate analytical formula
for the cross-energy matrix in which we automatically and adaptively
determine the time window. The proposed method uses polarization
analysis as applied to multicomponent seismic by waveform separation
and filtering.
@article{diallo_etal:2006,
abstract = {We introduce a method for computing instantaneous-polarization attributes
from multicomponent signals. This is an improvement on the standard
covariance method (SCM) because it does not depend on the window
size used to compute the standard covariance matrix. We overcome
the window-size problem by deriving an approximate analytical formula
for the cross-energy matrix in which we automatically and adaptively
determine the time window. The proposed method uses polarization
analysis as applied to multicomponent seismic by waveform separation
and filtering.},
added-at = {2012-09-01T13:08:21.000+0200},
author = {Diallo, Mamadou S. and Kulesh, Michail and Holschneider, Matthias and Kurennaya, Kristina and Scherbaum, Frank},
biburl = {https://www.bibsonomy.org/bibtex/2e87d8ddd4cacfe449363f7bfcf8d9628/nilsma},
day = 1,
doi = {10.1190/1.2227522},
interhash = {dc29cdc3f97f9a11dbad56e952d83230},
intrahash = {e87d8ddd4cacfe449363f7bfcf8d9628},
journal = {Geophysics},
keywords = {geophysics seismics seismology},
month = sep,
number = 5,
pages = {V99--104},
publisher = {SEG},
timestamp = {2021-02-09T13:19:55.000+0100},
title = {Instantaneous polarization attributes based on an adaptive approximate
covariance method},
url = {http://dx.doi.org/10.1190/1.2227522},
volume = 71,
year = 2006
}