Denoising cosmic rays radio signal using Wavelets techniques

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F22%3A00566517" target="_blank" >RIV/68378271:_____/22:00566517 - isvavai.cz</a>

Výsledek na webu

<a href="https://pos.sissa.it/395/260" target="_blank" >https://pos.sissa.it/395/260</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22323/1.395.0260" target="_blank" >10.22323/1.395.0260</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Denoising cosmic rays radio signal using Wavelets techniques

Popis výsledku v původním jazyce

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.n

Název v anglickém jazyce

Denoising cosmic rays radio signal using Wavelets techniques

Popis výsledku anglicky

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.n

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10303 - Particles and field physics

Projekt

—

Návaznosti

—

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of Science

ISBN

—

ISSN

1824-8039

e-ISSN

—

Počet stran výsledku

8

Strana od-do

260

Název nakladatele

Sissa Medilab srl

Místo vydání

Trieste

Místo konání akce

Berlin

Datum konání akce

12. 7. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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