DocumentCode
1151970
Title
Efficient Implementations of the Chinese Remainder Theorem for Sign Detection and Residue Decoding
Author
Van Vu, Thu
Author_Institution
Government Aerospace Systems Division, Harris Corporation
Issue
7
fYear
1985
fDate
7/1/1985 12:00:00 AM
Firstpage
646
Lastpage
651
Abstract
Two conversion techniques based on the Chinese remainder theorem are developed for use in residue number systems. The new implementations are fast and simple mainly because adders modulo a large and arbitrary integer M are effectively replaced by binary adders and possibly a lookup table of small address space. Although different in form, both techniques share the same principle that an appropriate representation of the summands must be employed in order to evaluate a sum modulo M efficiently. The first technique reduces the sum modulo M in the conversion formula to a sum modulo 2 through the use of fractional representation, which also exposes the sign bit of numbers. Thus, this technique is particularly useful for sign detection and for any operation requiring a comparison with a binary fraction of M. The other technique is preferable for the full conversion from residues to unsigned or 2´s complement integers. By expressing the summands in terms of quotients and remainders with respect to a properly chosen divisor, the second technique systematically replaces the sum modulo M by two binary sums, one accumulating the quotients modulo a power of 2 and the other accumulating the remainders the ordinary way. A final recombination step is required but is easily implemented with a small lookup table and binary adders.
Keywords
Fractional representation; multioperand modular addition; quotient-remainder representation; residue decoding; residue number system; sign detection; Acceleration; Adders; Decoding; Digital systems; Error analysis; Error correction; Government; Hardware; Table lookup; Fractional representation; multioperand modular addition; quotient-remainder representation; residue decoding; residue number system; sign detection;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/TC.1985.1676602
Filename
1676602
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