TY  - JOUR
A1  - Diallo, Mamadou Sanou
A1  - Kulesh, Michail
A1  - Holschneider, Matthias
A1  - Scherbaum, Frank
T1  - Instantaneous polarization attributes in the time-frequency domain and wavefield separation
N2  - We introduce a method of wavefield separation from multicomponent data sets based on the use of the continuous wavelet transform. Our method is a further generalization of the approach proposed by Morozov and Smithson, in that by using the continuous wavelet transform, we can achieve a better separation of wave types by designing the filter in the time-frequency domain. Furthermore, using the instantaneous polarization attributes defined in the wavelet domain, we show how to construct filters tailored to separate different wave types (elliptically or linearly polarized), followed by an inverse wavelet transform to obtain the desired wave type in the time domain. Using synthetic and experimental data, we show how the present method can be used for wavefield separation
Y1  - 2005
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/13560
SN  - 0016-8025
ER  -