PoS - Proceedings of Science
Volume 395 - 37th International Cosmic Ray Conference (ICRC2021) - CRI - Cosmic Ray Indirect
Denoising cosmic rays radio signal using Wavelets techniques
C.K.O. Watanabe*, P.S.R. Diniz, T. Huege and J. de Mello Neto
Full text: pdf
Pre-published on: July 16, 2021
Published on: March 18, 2022
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.
DOI: https://doi.org/10.22323/1.395.0260
How to cite

Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in "proceeding" format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.