Treffer: Residue-to-binary decoder for an enhanced moduli set
Title:
Residue-to-binary decoder for an enhanced moduli set
Authors:
Source:
IEE proceedings. Computers and digital techniques. 151(2):127-130
Publisher Information:
Stevenage: Institution of Electrical Engineers, 2004.
Publication Year:
2004
Physical Description:
print, 27 ref
Original Material:
INIST-CNRS
Subject Terms:
Electronics, Electronique, Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Electronique, Electronics, Electronique des semiconducteurs. Microélectronique. Optoélectronique. Dispositifs à l'état solide, Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices, Circuits intégrés, Integrated circuits, Circuits intégrés par fonction (dont mémoires et processeurs), Integrated circuits by function (including memories and processors), Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Algorithme, Algorithm, Algoritmo, Arithmétique ordinateur, Computer arithmetic, Aritmética ordenador, Calcul résidu, Residue calculus, Cálculo residuo, Circuit décodeur, Decoding circuit, Circuito desciframiento, Circuit intégré, Integrated circuit, Circuito integrado, Circuit numérique, Digital circuit, Circuito numérico, Codage binaire, Binary coding, Codificación binaria, Complexité temps, Time complexity, Complejidad tiempo, Décodage, Decoding, Desciframiento, Multiplication, Multiplicación, Méthode dynamique, Dynamic method, Método dinámico, Nombre binaire, Binary number, Número binario, Opération arithmétique, Arithmetic operation, Operación aritmética, Processeur signal numérique, Digital signal processor, Procesador señal numérica, Processeur, Processor, Procesador, Système nombre résidu, Residue number systems
Document Type:
Fachzeitschrift
Article
File Description:
text
Language:
English
Author Affiliations:
Electronics and Computer Engineering Department, Princess Sumaya University for Technology, PO Box 1438, Amman 11941, Jordan
Computer Engineering Department, University of Jordan, Amman 11941, Jordan
Computer Engineering Department, University of Jordan, Amman 11941, Jordan
ISSN:
1350-2387
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Electronics
Telecommunications and information theory
Telecommunications and information theory
Accession Number:
edscal.15561529
Database:
PASCAL Archive
Weitere Informationen
Previous publications have given the moduli set (2n, 2n - 1, 2n + 1) considerable attention. In the residue number system literature this moduli set was referred to as the popular set. However, the dynamic range of this set is limited to 3n bits. A new moduli set (22n, 2n - 1, 2n + 1) is proposed with a dynamic range of 4n bits. This enhanced set enjoys the same features of the popular one. Also proposed are closed forms for multiplicative inverses for the set and an algorithm for decoding the residue digits into their binary equivalent. Although it increases the dynamic range by 33%, the residue-to-binary decoder of the new set requires the same hardware and time complexity as the popular one.