Robust Reconstruction of Aliased Data Using Autoregressive Spectral Estimates

M. Naghizadeh; M. Sacchi

doi:10.3997/2214-4609.201400442

Robust Reconstruction of Aliased Data Using Autoregressive Spectral Estimates
By M. Naghizadeh and M. Sacchi
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, Jun 2009, cp-127-00435
ISBN: 978-90-73781-67-2
DOI: https://doi.org/10.3997/2214-4609.201400442

Abstract

Autoregressive modeling is used to estimate the multi-dimensional spectrum of aliased data. A region of spectral support is determined by identifying the location of peaks in the estimated spectrum of the data. This information is used to pose a Fourier r

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2009-06-08

2024-04-26

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Robust Reconstruction of Aliased Data Using Autoregressive Spectral Estimates

Abstract

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