Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Modified signed-digit quaternary arithmetic using optical symbolic substitution

Not Accessible

Your library or personal account may give you access

Abstract

Modified signed-digit (MSD) arithmetic can be efficiently performed by using two-step symbolic substitution (SS) for carry-free addition and borrow-free subtraction, where the to-be-added pair of numbers is first mapped into an intermediate pair such that the addition of the latter pair will prohibit carry propagation. Kozaitis1 presented the addition rules for a higherorder (two-bit) SS scheme allowing four bits to be processed at the same time. However, this technique depends on the length of the bit string, thereby producing an unnecessary constraint on the computation speed for operations involving long operands. To incorporate more information in fewer digits and at the same time perform arithmetic operations independent of the length of the bit strings, in this paper we study the higher-order SS technique employing MSD quaternary arithmetic. The necessary SS rules for both addition and subtraction using the proposed technique have been derived by taking into consideration a pair of reference bits from the next-lower-order bit position. Finally, the performances of the higher-order MSD binary, trinary, and quaternary arithmetic with the optical SS technique are compared.

© 1992 Optical Society of America

PDF Article
More Like This
Conditional higher-order modified signed-digit symbolic substitution using trinary arithmetic

M. S. Alam, M. A. Karim, A. A. S. Awwal, and J. J. Westerkamp
FDD5 OSA Annual Meeting (FIO) 1991

Arithmetic processing using higher-order modified signed-digit symbolic substitution

M. S. Alam, A. A. S. Awwal, and M. A. Karim
FPP5 OSA Annual Meeting (FIO) 1992

Recoded trinary arithmetic using optical symbolic substitution

M. S. Alam
MZZ.8 OSA Annual Meeting (FIO) 1993

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.