Wave front sets with respect to Banach spaces of ultradistributions. Characterisation via the short-time Fourier transform
Pavel Dimovski, Bojan Prangoski

TL;DR
This paper introduces ultradistributional wave front sets relative to specific Banach spaces of ultradistributions and characterizes them using the short-time Fourier transform, advancing the understanding of ultradistribution analysis.
Contribution
It defines ultradistributional wave front sets with respect to translation-modulation invariant Banach spaces and provides their characterization via the short-time Fourier transform.
Findings
Wave front sets are characterized by the short-time Fourier transform.
Ultradistributional wave front sets are defined with respect to specific Banach spaces.
The approach generalizes classical wave front set analysis.
Abstract
We define ultradistributional wave front sets with respect to translation-modulation invariant Banach spaces of ultradistributions having solid Fourier image. The main result is their characterisation by the short-time Fourier transform.
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.
