A time-frequency density criterion for operator identification
Niklas Grip, G\"otz E. Pfander, Peter Rashkov

TL;DR
This paper introduces a necessary density criterion for identifying classes of Hilbert-Schmidt operators with time-frequency structure, extending Gabor frame density concepts to operator identification.
Contribution
It establishes a new density criterion for operator identifiability based on Gabor frame theory, with practical examples of identifiable classes.
Findings
Density criterion for operator identifiability established
Extension of Gabor frame density concepts to operators
Examples of identifiable operator classes provided
Abstract
We establish a necessary density criterion for the identifiability of time-frequency structured classes of Hilbert-Schmidt operators. The density condition is based on the density criterion for Gabor frames and Riesz bases in the space of square integrable functions. We complement our findings with examples of identifiable operator classes.
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.
