Scalable Probabilistic Frames
Numerical Analysis
2016-08-22 v2 Functional Analysis
Abstract
We consider the problem of rescaling the lengths of a finite frame thereby transforming it into a tight one. Such frames are called scalable and have received a lot of attention in recent years. In this note we investigate the question in terms of probabilistic frames and give conditions under which a (discrete) probabilistic frame is scalable.
Keywords
Cite
@article{arxiv.1501.07321,
title = {Scalable Probabilistic Frames},
author = {Clare Wickman Lau and Kasso A. Okoudjou},
journal= {arXiv preprint arXiv:1501.07321},
year = {2016}
}
Comments
This paper has been withdrawn due to an error