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Proceedings Paper

VLSI implementations of number theoretic concepts with applications in signal processing
Author(s): Neil M. Wigley; Graham A. Jullien
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Paper Abstract

This paper explores novel techniques involving number theoretic concepts to perform real-time digital signal processing for high bandwidth data stream applications in digital signal processing. Often the arithmetic manipulations are simple in form (cascades of additions and multiplications in a well defined structure) but the numbers of operations that have to be computed every second can be large. This paper discusses ways in which new number theoretic mapping techniques can be used to perform DSP operations by both reducing the amount of hardware involved in the circuitry and by allowing the construction of very benign architectures down to the individual cells. Such architectures can be used in aggressive VLSI/ULSI implementations. We restrict ourselves to the computation of linear filter and transform algorithms, with the inner product form, which probably account for the vast majority of digital signal processing functions implemented commercially.

Paper Details

Date Published: 30 November 1992
PDF: 12 pages
Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); doi: 10.1117/12.130920
Show Author Affiliations
Neil M. Wigley, Univ. of Windsor (Canada)
Graham A. Jullien, Univ. of Windsor (Canada)

Published in SPIE Proceedings Vol. 1770:
Advanced Signal Processing Algorithms, Architectures, and Implementations III
Franklin T. Luk, Editor(s)

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