Szczegóły publikacji
Opis bibliograficzny
Nonparametric estimation of local bandwidth from level crossings sampling / Mirosław PAWLAK, Dominik RZEPKA, Marek MIŚKOWICZ // W: 2023 International conference on Sampling Theory and Applications (SampTA) [Dokument elektroniczny] : 10-14 July 2023, New Haven, USA. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, 2023. — (International Conference on Sampling Theory and Applications ; ISSN 2831-5480). — Dod. ISBN: 979-8-3503-2886-8. — e-ISBN: 979-8-3503-2885-1. — S. [1-5]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [5], Abstr. — Publikacja dostępna online od: 2023-11-02. — M. Pawlak - dod. afiliacja: Department of Electrical and Computer Engineering, University of Manitoba, Canada
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 152142 |
|---|---|
| Data dodania do BaDAP | 2024-02-26 |
| Tekst źródłowy | URL |
| DOI | 10.1109/SampTA59647.2023.10301200 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Czasopismo/seria | International Conference on Sampling Theory and Applications |
Abstract
We study the problem of a local bandwidth recovery for nonstationary stochastic signals when the measured information is given in terms of level crossings. We propose a kernel estimate of the local bandwidth from samples generated from level crossings of stochastic signals being the time-warped version of stationary Gaussian processes. The positivity and bandlimited nature of the local intensity is captured by the properly selected class of bandlimited and positive kernel functions. The asymptotic properties of the estimator are derived.
