Quantitative results on continuity of the spectral factorization mapping in the scalar case
Lasha Ephremidze, Eugene Shargorodsky, and Ilya Spitkovsky

TL;DR
This paper investigates the stability and continuity properties of the spectral factorization mapping in the scalar case, focusing on how perturbations in the original function and its logarithm affect the spectral factor.
Contribution
It provides quantitative results on the continuity of the spectral factorization mapping with respect to specific norms in the scalar case.
Findings
Established bounds on the difference between spectral factors in terms of $L_1$ norms.
Analyzed the dependence of spectral factor stability on perturbations of the original function.
Contributed to understanding the robustness of spectral factorization in signal processing.
Abstract
In the scalar case, the spectral factorization mapping puts a nonnegative integrable function having an integrable logarithm in correspondence with an outer analytic function such that almost everywhere. The main question addressed here is to what extent is controlled by and .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
