Low-Pass Filtering Method for Poisson Data Time Seriesстатья
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Дата последнего поиска статьи во внешних источниках: 28 июля 2021 г.
Аннотация: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 andmeasuring technology. A low-pass filtering method for normalized Poisson-distributed data timeseries is proposed. A digital quasi-Gaussian filter is designed, with a finite impulse response andnon-negative weights. The quasi-Gaussian filter synthesis is implemented using the technology ofstochastic global minimization and modification of the annealing simulation algorithm. The resultsof 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.