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Instantaneous polarization attributes in the time-frequency domain and wavefield separation

  • 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

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Author details:Mamadou Sanou DialloGND, Michail Kulesh, Matthias HolschneiderORCiDGND, Frank ScherbaumORCiDGND
ISSN:0016-8025
Publication type:Article
Language:English
Year of first publication:2005
Publication year:2005
Release date:2017/03/24
Source:Geophysical Prospecting. - ISSN 0016-8025. - 53 (2005), 5, S. 723 - 731
PACS classification:40.00.00 ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS / 42.00.00 Optics (for optical properties of gases, see 51.70.+f; for optical properties of bulk materials and thin films, see 78.20.-e; for x-ray optics, see 41.50.+h) / 42.66.-p Physiological optics (see also 87.19.lt Sensory systems: visual, auditory, tactile, taste, and olfaction) / 42.66.Ew Physiology of eye; optic-nerve structure and function (see also 87.19.lt Sensory systems: visual, auditory, tactile, taste, and olfaction)
Peer review:Referiert
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