Markov filtration of digital signals in residue number system

The article deals with signal processing algorithms, which are approximated by Markov chains on a background noise of Markov type. It is shown that the implementation of this algorithm requires significant hardware costs. Proposed to reduce them by using a residua number system (RNS). It is shown th...

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Main Authors: Valeriy Andreevich Pesoshin, Nataliya Andreevna Galanina, Nadezhda Nikolaevna Ivanova
Format: Article
Language:Russian
Published: North-Caucasus Federal University 2022-09-01
Series:Наука. Инновации. Технологии
Subjects:
Online Access:https://scienceit.elpub.ru/jour/article/view/406
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author Valeriy Andreevich Pesoshin
Nataliya Andreevna Galanina
Nadezhda Nikolaevna Ivanova
author_facet Valeriy Andreevich Pesoshin
Nataliya Andreevna Galanina
Nadezhda Nikolaevna Ivanova
author_sort Valeriy Andreevich Pesoshin
collection DOAJ
description The article deals with signal processing algorithms, which are approximated by Markov chains on a background noise of Markov type. It is shown that the implementation of this algorithm requires significant hardware costs. Proposed to reduce them by using a residua number system (RNS). It is shown that this method of implementation, the processing of Markov signals can significantly reduce hardware expenses.
format Article
id doaj-art-ec71181a54e44ba08c52eb1330faa6e9
institution Kabale University
issn 2308-4758
language Russian
publishDate 2022-09-01
publisher North-Caucasus Federal University
record_format Article
series Наука. Инновации. Технологии
spelling doaj-art-ec71181a54e44ba08c52eb1330faa6e92025-08-20T03:42:25ZrusNorth-Caucasus Federal UniversityНаука. Инновации. Технологии2308-47582022-09-01012735405Markov filtration of digital signals in residue number systemValeriy Andreevich Pesoshin0Nataliya Andreevna Galanina1Nadezhda Nikolaevna Ivanova2Kazan National Research Technical University named after A.N. TupolevChuvash State University named after I.N. UlyanovChuvash State University named after I.N. UlyanovThe article deals with signal processing algorithms, which are approximated by Markov chains on a background noise of Markov type. It is shown that the implementation of this algorithm requires significant hardware costs. Proposed to reduce them by using a residua number system (RNS). It is shown that this method of implementation, the processing of Markov signals can significantly reduce hardware expenses.https://scienceit.elpub.ru/jour/article/view/406цифровая обработка сигналовмарковские сигналысистема счисления в остаточных классахdigital signal processingmarkov’s signalsresidua number system
spellingShingle Valeriy Andreevich Pesoshin
Nataliya Andreevna Galanina
Nadezhda Nikolaevna Ivanova
Markov filtration of digital signals in residue number system
Наука. Инновации. Технологии
цифровая обработка сигналов
марковские сигналы
система счисления в остаточных классах
digital signal processing
markov’s signals
residua number system
title Markov filtration of digital signals in residue number system
title_full Markov filtration of digital signals in residue number system
title_fullStr Markov filtration of digital signals in residue number system
title_full_unstemmed Markov filtration of digital signals in residue number system
title_short Markov filtration of digital signals in residue number system
title_sort markov filtration of digital signals in residue number system
topic цифровая обработка сигналов
марковские сигналы
система счисления в остаточных классах
digital signal processing
markov’s signals
residua number system
url https://scienceit.elpub.ru/jour/article/view/406
work_keys_str_mv AT valeriyandreevichpesoshin markovfiltrationofdigitalsignalsinresiduenumbersystem
AT nataliyaandreevnagalanina markovfiltrationofdigitalsignalsinresiduenumbersystem
AT nadezhdanikolaevnaivanova markovfiltrationofdigitalsignalsinresiduenumbersystem