Multichannel antileakage least squares spectral analysis for seismic data regularization beyond aliasing

Ghaderpour, Ebrahim

doi:10.1007/s11600-019-00320-3

Artykuł - szczegóły

Tytuł artykułu

Multichannel antileakage least squares spectral analysis for seismic data regularization beyond aliasing

Autorzy

Ghaderpour Ebrahim

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-019-00320-3

Warianty tytułu

Języki publikacji

Abstrakty

The antileakage least-squares spectral analysis is a new method of regularizing irregularly spaced data series. This method mitigates the spectral leakages in the least-squares spectrum caused by non-orthogonality of the sinusoidal basis functions on irregularly spaced series, and it is robust when data series are wide-sense stationary. An appropriate windowing technique can be applied to adapt this method to non-stationary data series. When data series present mild aliasing, this method can efectively regularize the data series; however, additional information or assumption is needed when the data series is coarsely sampled. In this paper, we show how to incorporate the spatial gradients of the data series into the method to regularize data series presenting severe aliasing and show its robust performance on synthetic and marine seismic data examples.

Słowa kluczowe

gradient regularization seismic data antileakage spectrum least-squares spectral analysis

gradient regularyzacja dane sejsmiczne

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2019

Tom

Vol. 67, no. 5

Strony

1349--1363

Opis fizyczny

Bibliogr. 38 poz.

Twórcy

autor

Ghaderpour Ebrahim

ebrahim.ghaderpour@ucalgary.ca

University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).

Typ dokumentu

Bibliografia

Identyfikator YADDA

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