
TL;DR
This paper explores the construction of multiresolution analyses on quasilattices using Pisot-Vijayaraghavan numbers, introducing new refinable distributions and functions with potential multidimensional applications.
Contribution
It introduces a novel framework for multiresolution analysis on quasilattices using PV numbers, including new refinable distributions and functions, and discusses multidimensional extensions.
Findings
Relations between Fourier moduli and polynomials established
Constructed families of quasilattices and refinable distributions
Conjecture that scalar refinable distributions are never integrable
Abstract
We derive relations between geometric means of the Fourier moduli of a refinable distribution and of a related polynomial. We use Pisot-Vijayaraghavan numbers to construct families of one dimension quasilattices and multiresolution analyses spanned by distributions that are refinable with respect to dilation by the PV numbers and translation by quasilattice points. We conjecture that scalar valued refinable distributions are never integrable, construct piecewise constant vector valued refinable functions, and discuss multidimensional extensions.
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.
