Application of modular technologies in the large-scale analysis of signals
The purpose of the research is to improve the accuracy of the large-scale analysis of signals. This goal can be achieved through the use of algebraic systems having the properties of a ring and a field. The paper presents the implementation of the discrete Haar wavelet transform in the finite Galois...
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Asian Research Publishing Network
2018
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ir-20.500.12258-37932020-09-14T13:05:32Z Application of modular technologies in the large-scale analysis of signals Kalmykov, I. A. Калмыков, И. А. Katkov, K. A. Катков, К. А. Timoshenko, L. I. Тимошенко, Л. И. Dunin, A. V. Дунин, А. В. Gish, T. A. Гиш, Т. А. Discrete wavelet transform of signal Error correction Polynomial system of residue classes Positional characteristics Residue number system (RNS) The purpose of the research is to improve the accuracy of the large-scale analysis of signals. This goal can be achieved through the use of algebraic systems having the properties of a ring and a field. The paper presents the implementation of the discrete Haar wavelet transform in the finite Galois field GF (17). To detect and correct the errors that can occur during the operation of a special processor for digital signal processing (DSP) due to malfunction and failure of equipment, an algorithm is developed for calculating a positional characteristic. The use of new modular technologies in the DSP problems enables, by virtue of parallelization at the level of operations and processing the short-bit data, not only to increase the calculation accuracy, but also to ensure obtaining the correct result 2018-12-27T12:38:04Z 2018-12-27T12:38:04Z 2015 Статья Kalmykov, I.A.E., Katkov, K.A., Timoshenko, L.I., Dunin, A.V.E., Gish, T.A. Application of modular technologies in the large-scale analysis of signals // Journal of Theoretical and Applied Information Technology. - 2015. - Volume 80. - Issue 3. - Pages 391-400 https://www.scopus.com/record/display.uri?eid=2-s2.0-84945975100&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=North+caucasus+federal+university&sid=f5d6b88975a36b8cf0be48c27fa297bd&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Application+of+modular+technologies+in+the+large-scale+analysis+of+signals%29&relpos=0&citeCnt=6&searchTerm= http://hdl.handle.net/20.500.12258/3793 en Journal of Theoretical and Applied Information Technology application/pdf Asian Research Publishing Network |
institution |
СКФУ |
collection |
Репозиторий |
language |
English |
topic |
Discrete wavelet transform of signal Error correction Polynomial system of residue classes Positional characteristics Residue number system (RNS) |
spellingShingle |
Discrete wavelet transform of signal Error correction Polynomial system of residue classes Positional characteristics Residue number system (RNS) Kalmykov, I. A. Калмыков, И. А. Katkov, K. A. Катков, К. А. Timoshenko, L. I. Тимошенко, Л. И. Dunin, A. V. Дунин, А. В. Gish, T. A. Гиш, Т. А. Application of modular technologies in the large-scale analysis of signals |
description |
The purpose of the research is to improve the accuracy of the large-scale analysis of signals. This goal can be achieved through the use of algebraic systems having the properties of a ring and a field. The paper presents the implementation of the discrete Haar wavelet transform in the finite Galois field GF (17). To detect and correct the errors that can occur during the operation of a special processor for digital signal processing (DSP) due to malfunction and failure of equipment, an algorithm is developed for calculating a positional characteristic. The use of new modular technologies in the DSP problems enables, by virtue of parallelization at the level of operations and processing the short-bit data, not only to increase the calculation accuracy, but also to ensure obtaining the correct result |
format |
Статья |
author |
Kalmykov, I. A. Калмыков, И. А. Katkov, K. A. Катков, К. А. Timoshenko, L. I. Тимошенко, Л. И. Dunin, A. V. Дунин, А. В. Gish, T. A. Гиш, Т. А. |
author_facet |
Kalmykov, I. A. Калмыков, И. А. Katkov, K. A. Катков, К. А. Timoshenko, L. I. Тимошенко, Л. И. Dunin, A. V. Дунин, А. В. Gish, T. A. Гиш, Т. А. |
author_sort |
Kalmykov, I. A. |
title |
Application of modular technologies in the large-scale analysis of signals |
title_short |
Application of modular technologies in the large-scale analysis of signals |
title_full |
Application of modular technologies in the large-scale analysis of signals |
title_fullStr |
Application of modular technologies in the large-scale analysis of signals |
title_full_unstemmed |
Application of modular technologies in the large-scale analysis of signals |
title_sort |
application of modular technologies in the large-scale analysis of signals |
publisher |
Asian Research Publishing Network |
publishDate |
2018 |
url |
https://www.scopus.com/record/display.uri?eid=2-s2.0-84945975100&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=North+caucasus+federal+university&sid=f5d6b88975a36b8cf0be48c27fa297bd&sot=afnl&sdt=sisr&cluster=scopubyr%2c%222015%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&ref=%28Application+of+modular+technologies+in+the+large-scale+analysis+of+signals%29&relpos=0&citeCnt=6&searchTerm= https://dspace.ncfu.ru/handle/20.500.12258/3793 |
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