The ridgelet transform of distributions
Sanja Kostadinova, Stevan Pilipovic, Katerina Saneva, and Jasson, Vindas
TL;DR
This paper introduces the ridgelet transform for distributions, exploring its mathematical properties and relationships with Radon and wavelet transforms to advance analysis techniques.
Contribution
It defines the ridgelet transform for distributions and establishes its connections with Radon and wavelet transforms, expanding the theoretical framework.
Findings
Established the mathematical foundation of the ridgelet transform for distributions
Connected the ridgelet transform with Radon and wavelet transforms
Provided theoretical insights into the properties of these transforms
Abstract
We define and study the ridgelet transform of (Lizorkin) distributions. We establish connections with the Radon and wavelet transforms.
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.