Fractional and Complex Pseudo-Splines and the Construction of Parseval Frames
Ole Christensen, Brigitte Forster, Peter Massopust

TL;DR
This paper generalizes pseudo-splines to fractional and complex orders, enhancing smoothness control and enabling complex transform applications, while also constructing Parseval wavelet frames using these generalized functions.
Contribution
It introduces fractional and complex pseudo-splines, broadening the family of functions for wavelet frame construction and signal analysis.
Findings
Generalized pseudo-splines to fractional and complex orders.
Constructed Parseval wavelet frames using the generalized pseudo-splines.
Enhanced smoothness control and applicability in complex signal processing.
Abstract
Pseudo-splines of integer order were introduced by Daubechies, Han, Ron, and Shen as a family which allows interpolation between the classical B-splines and the Daubechies' scaling functions. The purpose of this paper is to generalize the pseudo-splines to fractional and complex orders with . This allows increased flexibility in regard to smoothness: instead of working with a discrete family of functions from , , one uses a \emph{continuous} family of functions belonging to the H\"older spaces . The presence of the imaginary part of allows for direct utilization in complex transform techniques for signal and image analyses. We also show that in analogue to the integer case, the generalized pseudo-splines lead to constructions of Parseval wavelet frames via the unitary extension principle.
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 · Mathematical Analysis and Transform Methods · Advanced Numerical Analysis Techniques
