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Proceedings Paper

Truncated squarers with constant and variable correction
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Paper Abstract

This paper describes truncated squarers, which are specialized squarers with a portion of the squaring matrix eliminated. Rounding error and errors due to matrix reduction are quantified and analyzed. Constant and variable correction techniques are presented that minimize either the mean error or the maximum absolute error as required by the application. Area and delay estimates are presented for a number of designs, as well as error statistics obtained both analytically and numerically by exhaustive simulation. As an example, one design of a 16-bit truncated squarer using constant correction is 10.1% faster and requires 27.9% less area than a comparable standard squarer with true rounding. The range of error for this truncated squarer is -0.892 to +0.625 ulps, compared to +/-0.5 ulps for the standard squarer.

Paper Details

Date Published: 26 October 2004
PDF: 11 pages
Proc. SPIE 5559, Advanced Signal Processing Algorithms, Architectures, and Implementations XIV, (26 October 2004); doi: 10.1117/12.560963
Show Author Affiliations
E. George Walters, Lehigh Univ. (United States)
Michael J. Schulte, Univ. of Wisconsin/Madison (United States)
Mark G. Arnold, Lehigh Univ. (United States)


Published in SPIE Proceedings Vol. 5559:
Advanced Signal Processing Algorithms, Architectures, and Implementations XIV
Franklin T. Luk, Editor(s)

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