Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/25808
Title: A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values
Authors: Lyakhov, P. A.
Ляхов, П. А.
Bergerman, M. V.
Бергерман, М. В.
Abdulkadirov, R. I.
Абдулкадиров, Р. И.
Abdulsalyamova, A. S.
Абдулсалямова, А. Ш.
Nagornov, N. N.
Нагорнов, Н. Н.
Keywords: Chinese remainder theorem with fraction values;Sign detection;Residue number system (RNS);Non-modular operation
Issue Date: 2023
Citation: Lyakhov, P., Bergerman, M., Abdulkadirov, R., Abdulsalyamova, A., Nagornov, N., Voznesensky, A., Minenkov, D., Kaplun, D. A novel sign detection method in residue number system based on Chinese remainder theorem with fractional values // Microprocessors and Microsystems. - 2023. - 102. - статья № 104940. - DOI: 10.1016/j.micpro.2023.104940
Series/Report no.: Microprocessors and Microsystems
Abstract: Sign detection is a non-modular operation in the residue number system (RNS). It requires the calculation of the number positional characteristic represented in the RNS. This work proposes a new sign detection method based on the Chinese Remainder Theorem (CRT) with fractional values implemented using the Wallace tree and the modified Kogge-Stone adder. Hardware modelling on FPGA for the proposed method shows that it provides 1.3 – 36.3 times less hardware costs than the other state-of-the-art (SOTA) methods, and for ASIC modelling the proposed method provides 1.14 – 35.74 times less hardware costs than the other SOTA methods. The presented sign detection method can be helpful in RNS-based devices in implementing comparison and division operations, providing an extension of the RNS application in areas such as cryptography, machine learning, and digital signal processing.
URI: http://hdl.handle.net/20.500.12258/25808
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

Files in This Item:
File Description SizeFormat 
scopusresults 2801 .pdf
  Restricted Access
134.49 kBAdobe PDFView/Open
WoS 1734 .pdf
  Restricted Access
113.71 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.