A New Method of Matrix Spectral Factorization
Gigla Janashia, Edem Lagvilava, and Lasha Ephremidze
TL;DR
This paper introduces a novel method for matrix spectral factorization that reliably computes approximate spectral factors for any matrix spectral density capable of spectral factorization.
Contribution
The paper presents a new approach to matrix spectral factorization that improves reliability and applicability for various spectral densities.
Findings
Method reliably computes approximate spectral factors.
Applicable to any matrix spectral density with spectral factorization.
Enhances existing spectral factorization techniques.
Abstract
A new method of matrix spectral factorization is proposed which reliably computes an approximate spectral factor of any matrix spectral density that admits spectral factorization
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Taxonomy
TopicsMatrix Theory and Algorithms · Optical Polarization and Ellipsometry · Image and Signal Denoising Methods