Effect of color noise on the processing of optical signals using the swarm intellect algorithm

dc.contributor.author	Galimullin D.
dc.contributor.author	Sibgatullin M.
dc.contributor.author	Kamalova D.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-19T20:50:51Z
dc.date.available	2018-09-19T20:50:51Z
dc.date.issued	2016
dc.identifier.issn	1062-8738
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/143341
dc.description.abstract	© 2016, Allerton Press, Inc.An approach based on stochastic particle swarm optimization is used for the mathematical processing of spectral profiles with noise. Noises with different values of the Hurst index, which characterizes the noise component based on the prevalence of its low- or high-frequency components, is used to test the algorithm’s stability with respect to noise. The Hurst index is varied from 0.1 to 0.9. The effect color noise with levels of 1 to 10% has on the processing of optical signals using the particle swarm optimization algorithm is analyzed. The method is shown to be stable with respect to noise with a level of 10% if the Hurst index does not exceed a value of 0.5.
dc.relation.ispartofseries	Bulletin of the Russian Academy of Sciences: Physics
dc.title	Effect of color noise on the processing of optical signals using the swarm intellect algorithm
dc.type	Article
dc.relation.ispartofseries-issue	7
dc.relation.ispartofseries-volume	80
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	855
dc.source.id	SCOPUS10628738-2016-80-7-SID84980023826

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.