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Negative base encoding in optical linear algebra processorsIn the digital multiplication by analog convolution algorithm, the bits of two encoded numbers are convolved to form the product of the two numbers in mixed binary representation; this output can be easily converted to binary. Attention is presently given to negative base encoding, treating base -2 initially, and then showing that the negative base system can be readily extended to any radix. In general, negative base encoding in optical linear algebra processors represents a more efficient technique than either sign magnitude or 2's complement encoding, when the additions of digitally encoded products are performed in parallel.
Document ID
19860040303
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Perlee, C.
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Casasent, D.
(Carnegie-Mellon University Pittsburgh, PA, United States)
Date Acquired
August 12, 2013
Publication Date
January 15, 1986
Publication Information
Publication: Applied Optics
Volume: 25
ISSN: 0003-6935
Subject Category
Computer Programming And Software
Accession Number
86A25041
Funding Number(s)
CONTRACT_GRANT: NSF ECS-85-00830
CONTRACT_GRANT: NAG1-575
Distribution Limits
Public
Copyright
Other

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