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Denoising cosmic rays radio signal using Wavelets techniques

Watanabe, Clara Keiko Oliveira 1; Diniz, Paulo Sergio Ramirez; Huege, Tim 1; Mello Neto, João de
1 Institut für Astroteilchenphysik (IAP), Karlsruher Institut für Technologie (KIT)


Estimating a signal embedded in noise requires taking advantage of any prior information about the signal and noise. Until recently, signal processing estimation was primarily Bayesian and linear. Non-linear smoothing algorithms existed in statistics, but these procedures were often ad-hoc and complex. Donoho and Johnstone proved that a simple thresholding algorithm on an appropriate basis could be a nearly optimal non-linear estimator. A radio signal induced from cosmic ray is very well described, for example, by the Daubechies wavelets as a basis, allowing the thresholding to be as safe (or more) as a linear estimation. The best basis search or a pursuit algorithm may also improve the thresholding performance as it adapts the basis to the noisy data. This work presents the wavelets as a denoising technique for narrowband and gaussian background reduction in radio signals induced from cosmic rays, showing its efficiency in energy reconstruction.

Verlagsausgabe §
DOI: 10.5445/IR/1000138489
Veröffentlicht am 06.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 18.03.2022
Sprache Englisch
Identifikator ISSN: 1824-8039
KITopen-ID: 1000138489
HGF-Programm 51.13.04 (POF IV, LK 01) Kosmische Strahlung Technologien
Erschienen in Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
Veranstaltung 37th International Cosmic Ray Conference (ICRC 2021), Online, 12.07.2021 – 23.07.2021
Verlag Scuola Internazionale Superiore di Studi Avanzati (SISSA)
Seiten Art.-Nr.: 260
Serie Proceedings of Science / International School for Advanced Studies ; 395
Vorab online veröffentlicht am 16.07.2021
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