Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/19630
Title: Analytical review of methods for detection, localization and error correction in the Residue Number System
Authors: Gladkov, A. V.
Гладков, А. В.
Gladkova, N. A.
Гладкова, Н. А.
Kucherov, N. N.
Кучеров, Н. Н.
Keywords: Error correction;Projection method;Residue number system (RNS);Syndrome method
Issue Date: 2022
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Gladkov, A., Gladkova, N., Kucherov, N. Analytical review of methods for detection, localization and error correction in the Residue Number System // Lecture Notes in Networks and Systems. - 2022. - Том 424. - Стр.: 507 - 514. - DOI10.1007/978-3-030-97020-8_46
Series/Report no.: Lecture Notes in Networks and Systems
Abstract: In the modern world, one of the main goods is information. In this regard, two main tasks arise: increasing the data transfer rate and checking the correctness of the transmitted data, and if errors are found, correcting them. One of the ways to speed up the processing and transmission of data is to use a Residue Number System (RNS) to represent them. In this paper, we have considered some methods for detecting and correcting errors in the data presented in the RNS. Two effective methods for finding and correcting errors are the projection method and the syndrome method. The article analyzes these two methods for excess RNS. The effectiveness of each of them for detecting, localizing and correcting errors is shown using specific examples. As a result of the considered example, conclusions were drawn about the effectiveness of the methods of the syndrome and projections. It was shown that with minimal redundancy, a high speed of the methods was obtained. It is noted in the work that for the projection method only 9 projections can be used to correct errors.
URI: http://hdl.handle.net/20.500.12258/19630
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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