Wilson-Burg spectral factorization with application to helix filtering

Paul Sava, James Rickett, Sergey Fomel, and Jon Claerbout

paul@sep.stanford.edu, james@sep.stanford.edu, sergey@sep.stanford.edu, jon@sep.stanford.edu

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.