Low-Pass Filtering Method for Poisson Data Time Series
| Autor: | Vladislav Chinkin, R. A. Sidorov, A. A. Kovylyaeva, Victor Getmanov, M. N. Dobrovolsky, I. I. Yashin, A. N. Dmitrieva, Nataliya Osetrova, Alexei Gvishiani, Anatoly Soloviev |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Photon 010504 meteorology & atmospheric sciences Finite impulse response Computer science QH301-705.5 global minimization QC1-999 Poisson distribution 01 natural sciences quasi-Gaussian filter symbols.namesake Hodoscope digital filtering 0103 physical sciences General Materials Science Biology (General) 010303 astronomy & astrophysics Instrumentation QD1-999 annealing simulation algorithm 0105 earth and related environmental sciences Fluid Flow and Transfer Processes Series (mathematics) Process Chemistry and Technology Physics General Engineering Filter (signal processing) Engineering (General). Civil engineering (General) Computer Science Applications Chemistry Poisson data symbols Minification time series TA1-2040 Algorithm Digital filter optimization |
| Zdroj: | Applied Sciences, Vol 11, Iss 4524, p 4524 (2021) Applied Sciences Volume 11 Issue 10 |
| ISSN: | 2076-3417 |
| Popis: | Problems of digital processing of Poisson-distributed data time series from various counters 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. |
| Databáze: | OpenAIRE |
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