Two-direction multiwavelet moments
Soon-Geol Kwon

TL;DR
This paper introduces two methods for computing continuous moments of orthogonal two-direction multiscaling functions and multiwavelets, enhancing the flexibility and generality over traditional one-direction approaches.
Contribution
It proposes two novel methods, doubling and separation, for calculating continuous moments of two-direction multiscaling functions and multiwavelets, with illustrative examples.
Findings
Two methods successfully compute continuous moments.
Methods improve flexibility over one-direction multiscaling functions.
Examples demonstrate practical application of the methods.
Abstract
Two-direction multiscaling functions and two-direction multiwavelets associated with are a more general and more flexible setting than one-direction multiscaling functions and multiwavelets. In this paper, we derive two methods for computing continuous moments of orthogonal two-direction multiscaling functions and orthogonal two-direction multiwavelets associated with . The first method is by doubling and the second method is by separation. Two examples for both methods are given.
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
TopicsImage and Signal Denoising Methods · Advanced Mathematical Modeling in Engineering · Mathematical Analysis and Transform Methods
