DocumentCode :
802895
Title :
An efficient reverse converter for the 4-moduli set {2n - 1, 2n, 2n + 1, 22n + 1} based on the new Chinese remainder theorem
Author :
Cao, Bin ; Chang, Chip-Hong ; Srikanthan, Thambipillai
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Volume :
50
Issue :
10
fYear :
2003
Firstpage :
1296
Lastpage :
1303
Abstract :
The inherent properties of carry-free operations, parallelism and fault-tolerance have made the residue number system a promising candidate for high-speed arithmetic and specialized high-precision digital signal-processing applications. However, the reverse conversion from the residues to the weighted binary number has long been the performance bottleneck, particularly when the number of moduli set increases beyond 3. In this paper, we present an elegant residue-to-binary conversion algorithm for a new 4-moduli set {2n $1, 2n, 2n + 1, 22n + 1}. The new Chinese remainder theorem introduced recently has been employed to exploit the special properties of the proposed moduli set where modulo corrections are done without resorting to the costly and time consuming modulo operations. The resulting architecture is notably simple and can be realized in hardware with only bit reorientation and one multioperand modular adder. The new reverse converter has superior area-time complexity in comparison with the reverse converters for several other 4-moduli sets.
Keywords :
residue number systems; area-time complexity; digital signal processing; four-moduli set; hardware architecture; high-speed arithmetic; new Chinese remainder theorem; residue number system; residue-to-binary conversion algorithm; reverse converter; weighted binary number; Cathode ray tubes; Digital arithmetic; Fault tolerant systems; Hardware; Helium; High performance computing; Large scale integration; Parallel processing; Signal processing algorithms; Very large scale integration;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7122
Type :
jour
DOI :
10.1109/TCSI.2003.817789
Filename :
1236540
Link To Document :
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