Wilson-Burg spectral factorization with application to helix filtering: SEP–97 (1998)
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by
Paul Sava
,
James Rickett
,
Sergey Fomel
,
Jon Claerbout
| Citations: | 15 - 12 self |
BibTeX
@MISC{Sava98wilson-burgspectral,
author = {Paul Sava and James Rickett and Sergey Fomel and Jon Claerbout},
title = {Wilson-Burg spectral factorization with application to helix filtering: SEP–97},
year = {1998}
}
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Abstract
Spectral factorization methods are used for the estimation of minimum- phase time series from a given power spectrum. We present an efficient technique for spectral factorization, based on Newton’s method. We show how to apply the method to the factorization of both auto and cross-spectra, and present a simple example of 2-D deconvolution in the helical coordinate system.
