Slanted matrices, Banach frames, and sampling
A. Aldroubi, A. Baskakov, and I. Krishtal

TL;DR
This paper explores the spectral properties of slanted matrices and applies these findings to improve understanding of Banach frames and irregular sampling, including a non-commutative Wiener's lemma for such matrices.
Contribution
It establishes that boundedness below in one ll^p space implies it in all ll^p spaces for a broad class of slanted matrices, advancing frame theory and sampling analysis.
Findings
Boundedness below in ll^p for some p implies it for all p.
New results for irregular sampling problems.
A version of non-commutative Wiener's lemma for slanted matrices.
Abstract
In this paper we present a rare combination of abstract results on the spectral properties of slanted matrices and some of their very specific applications to frame theory and sampling problems. We show that for a large class of slanted matrices boundedness below of the corresponding operator in for some implies boundedness below in for all . We use the established resultto enrich our understanding of Banach frames and obtain new results for irregular sampling problems. We also present a version of a non-commutative Wiener's lemma for slanted matrices.
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.
Taxonomy
TopicsMathematical Analysis and Transform Methods · Image and Signal Denoising Methods · Advanced Numerical Analysis Techniques
