English

Existence of Uncertainty Minimizers for the Continuous Wavelet Transform

Functional Analysis 2023-07-20 v2 Information Theory math.IT

Abstract

Continuous wavelet design is the endeavor to construct mother wavelets with desirable properties for the continuous wavelet transform (CWT). One class of methods for choosing a mother wavelet involves minimizing a functional, called the wavelet uncertainty functional. Recently, two new wavelet uncertainty functionals were derived from theoretical foundations. In both approaches, the uncertainty of a mother wavelet describes its concentration, or accuracy, as a time-scale probe. While an uncertainty minimizing mother wavelet can be proven to have desirable localization properties, the existence of such a minimizer was never studied. In this paper, we prove the existence of minimizers for the two uncertainty functionals.

Keywords

Cite

@article{arxiv.2108.12018,
  title  = {Existence of Uncertainty Minimizers for the Continuous Wavelet Transform},
  author = {Simon Halvdansson and Jan-Fredrik Olsen and Nir Sochen and Ron Levie},
  journal= {arXiv preprint arXiv:2108.12018},
  year   = {2023}
}

Comments

15 pages, v2 fixed minor typos

R2 v1 2026-06-24T05:27:17.988Z