Probabilistic Modelled Optimal Frame for Erasures under Spectral and Operator Norm
Shankhadeep Mondal

TL;DR
This paper characterizes the optimal dual frames in frame theory that minimize reconstruction error under spectral and operator norms, providing conditions and characterizations for optimality.
Contribution
It introduces new conditions for when the canonical dual is optimal and characterizes the set of dual pairs achieving optimal reconstruction error.
Findings
Canonical dual is optimal under specific conditions.
Set of dual pairs attaining optimality is characterized.
Provides equivalent conditions for optimal dual frames.
Abstract
Error occurs in data transmission process when some data are missing at the time of reconstruction. Finding the best dual frame or a dual pair that minimizes the reconstruction error when erasure occurs,is a deep-rooted problem in frame theory. The main motivation behind this paper is to characterize the optimal dual under the spectral and operator norms. Here we give several equivalent conditions for which the canonical dual is an optimal dual frame for a given frame. We also go on to characterize the set of dual pairs which attains the optimal value.
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
TopicsMedical Imaging Techniques and Applications · Mathematical Analysis and Transform Methods
