Publication:
Low-pass filtering method for poisson data time series

Файлы
W3161879360.pdf(281.19 KB)
Дата
2021
Авторы
Getmanov, V.
Chinkin, V.
Sidorov, R.
Gvishiani, A.
Dmitrieva, A. N.
Kovylyaeva, A.
Osetrova, N.
Yashin, I.
Journal Title
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Научные группы
Организационные подразделения
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Организационная единица
Институт ядерной физики и технологий
Цель ИЯФиТ и стратегия развития - создание и развитие научно-образовательного центра мирового уровня в области ядерной физики и технологий, радиационного материаловедения, физики элементарных частиц, астрофизики и космофизики.
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Аннотация
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.Problems of digital processing of Poisson-distributed data time series from various coun-ters of radiation particles, photons, slow neutrons etc. are relevant for experimental physics and measuring technology. A low-pass filtering method for normalized Poisson-distributed data time series is proposed. A digital quasi-Gaussian filter is designed, with a finite impulse response and non-negative weights. The quasi-Gaussian filter synthesis is implemented using the technology of stochastic global minimization and modification of the annealing simulation algorithm. The results of testing the filtering method and the quasi-Gaussian filter on model and experimental normalized Poisson data from the URAGAN muon hodoscope, that have confirmed their effectiveness, are presented.
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Цитирование
Low-pass filtering method for poisson data time series / Getmanov, V. [et al.] // Applied Sciences (Switzerland). - 2021. - 11. - № 10. - 10.3390/app11104524
URI
https://www.doi.org/10.3390/app11104524
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85106663588&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000662478600001
 https://openrepository.mephi.ru/handle/123456789/24168
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