Completion versus removal of redundancy by perturbation
Ole Christensen, Marzieh Hasannasab

TL;DR
This paper investigates how small perturbations can either enable complete representation of a Hilbert space or remove redundancy in sequences with expansion properties, with implications for dynamical sampling.
Contribution
It provides conditions under which small perturbations can complete or remove redundancy in sequences with expansion properties in Hilbert spaces.
Findings
Small norm-perturbations enable representation for frame and Riesz sequences.
Redundancy can be removed via perturbations for certain frames.
Results are motivated by recent advances in dynamical sampling.
Abstract
A sequence in a Hilbert space has the expansion property if each has a representation for some scalar coefficients In this paper we analyze the question whether there exist small norm-perturbations of which allow to represent all the answer turns out to be yes for frame sequences and Riesz sequences, but no for general basic sequences. The insight gained from the analysis is used to address a somewhat dual question, namely, whether it is possible to remove redundancy from a sequence with the expansion property via small norm-perturbations; we prove that the answer is yes for frames such that as as well as for frames with finite excess. This particular question is motivated by recent…
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.
