Besov regularity of random wavelet series
Andreas Horst, Thomas Jahn, Felix Voigtlaender

TL;DR
This paper investigates the regularity properties of random wavelet series in Besov spaces, providing a comprehensive characterization of conditions for almost sure convergence and finiteness of Besov norms.
Contribution
It offers the first complete characterization of Besov regularity for wavelet series with mild moment conditions on random coefficients.
Findings
Characterized almost sure convergence in Besov spaces.
Established conditions for finiteness of Besov norms.
Provided necessary and sufficient criteria for regularity.
Abstract
We study the Besov regularity of wavelet series on with randomly chosen coefficients. More precisely, each coefficient is a product of a random factor and a parameterized deterministic factor (decaying with the scale and the norm of the shift ). Compared to the literature, we impose relatively mild conditions on the moments of the random variables in order to characterize the almost sure convergence of the wavelet series in Besov spaces and the finiteness of the moments as well as of the moment generating function of the Besov norm. In most cases, we achieve a complete characterization, i.e., the derived conditions are both necessary and sufficient.
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Taxonomy
TopicsMathematical Analysis and Transform Methods · Image and Signal Denoising Methods · Advanced Harmonic Analysis Research
