2012
DOI: 10.1190/geo2010-0326.1
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Window length selection for optimum slowness resolution of the local-slant-stack transform

Abstract: One of the most critical decisions in the design of a localslant-stack transform (LSST) is the selection of its aperture, or more precisely, the selection of the appropriate number of traces and their weighting coefficients for each slant stack. The challenge is to achieve a good compromise between the slowness and the spatial resolution. Conventionally, the window size is chosen in a more intuitive manner by visual inspection and some limited tests. We analyzed the LSST to establish rigorous criteria for the … Show more

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Cited by 16 publications
(11 citation statements)
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“…The slant-stacklet transform is conceptually a combination of local slant-stack transform (LSST), for example Ventosa et al (2012b), and the continuous wavelet transform (CWT). We write the local slant-stack decomposition of a wavefield u(t, x) as a weighted sum around a location x c along a set of wave fronts with slowness p:…”
Section: Discussionmentioning
confidence: 99%
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“…The slant-stacklet transform is conceptually a combination of local slant-stack transform (LSST), for example Ventosa et al (2012b), and the continuous wavelet transform (CWT). We write the local slant-stack decomposition of a wavefield u(t, x) as a weighted sum around a location x c along a set of wave fronts with slowness p:…”
Section: Discussionmentioning
confidence: 99%
“…The function f(λ) is in general smooth. When this function is constant, f(λ) = b, this leads to the same frequency wavenumber resolution as the LSST (Ventosa et al 2012b), σ p = σ k λ/bη; and when it is proportional to scale, f(λ) = bλ, to slant-stacklet atoms whose shape and slowness resolution remain constant with scale, σ p = σ k /bη (see Fig. A1).…”
Section: A P P E N D I X a : R E S O L U T I O N A N A Ly S I Smentioning
confidence: 97%
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“…2 shows an example from an exploration seismology setting, and the theory is briefly described below. Following Ventosa et al (2012), the LSST of a seismic record section u (x, t) is defined as:…”
Section: The Lssfmentioning
confidence: 99%
“…The most commonly adopted approach is stacking (delay-andsum) due to its simplicity and effectiveness in suppressing incoherent (though not necessarily low-amplitude) arrivals. Recently, more sophisticated resolution enhancement approaches such as Radon transform (Gu & Sacchi 2009;Schultz & Gu 2013), local-slantstack transform (Ventosa et al 2012) and slant-stacklet transform have been proposed. The localslant-stack transform was successfully applied to long-period SS precursors (Zheng et al 2015), which effectively differentiates between seismic arrivals based on moveout or epicentral distance.…”
mentioning
confidence: 99%