Decomposition of seismic signals via time-frequency representations

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameProceedings of the SEG Meetingen_US
dc.contributor.authorTobback, Tomen_US
dc.contributor.authorSteeghs, Philippeen_US
dc.contributor.authorDrijkoningen, Guy Gen_US
dc.contributor.authorFokkema, Jacob Ten_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:07:20Z
dc.date.available2007-10-31T01:07:20Z
dc.date.issued1996-01-15en
dc.date.modified2004-11-12en_US
dc.date.note2004-11-10en_US
dc.date.submitted1996-01-15en_US
dc.descriptionConference Paperen_US
dc.description.abstractIn this paper we discuss the use of a time-frequency representation, the Wigner distribution, for the decomposition and characterization of seismic signals. The advantage of the Wigner distribution over other representations, such as the wavelet and sliding window Fourier transform, is its sharp localization properties in the time-frequency plane. However, the Wigner distribution is a not a linear transformation. This non-linearity complicates the use of the Wigner distribution for time-frequency filtering and decomposition. We present an optimization method for the reconstruction of a time signal from its Wigner distribution. The reconstruction technique enables a decomposition of a signal into its time-frequency components, where the reconstructed components are stripped off from the signal one by one. The method is illustrated a real data example. We also demonstrate how the decomposition can be used for suppression and enhancement of events in the time-frequency plane.en_US
dc.identifier.citationT. Tobback, P. Steeghs, G. G. Drijkoningen and J. T. Fokkema, "Decomposition of seismic signals via time-frequency representations," 1996.
dc.identifier.urihttps://hdl.handle.net/1911/20398
dc.language.isoeng
dc.subjectgeophysics*
dc.subject.keywordgeophysicsen_US
dc.subject.otherSignal Processing Applicationsen_US
dc.subject.otherTime Frequency and Spectral Analysisen_US
dc.titleDecomposition of seismic signals via time-frequency representationsen_US
dc.typeConference paper
dc.type.dcmiText
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