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Proceedings Paper

Very-low-noise switching-free CNN-based adder
Author(s): Saeid Sadeghi-Emamchaie; Graham A. Jullien; W. C. Miller
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Paper Abstract

This paper presents novel methods of designing analog Cellular Nonlinear (Neural) Networks (CNNs) to implement very low-noise binary addition. In these techniques the continuous characteristic of the current that charges (discharges) the load capacitor, leads to a virtually switching free addition process that significantly reduces the switching noise. This switching mechanism also leads to higher slew of output voltage during the transitions which in turn reduces the cross talk. Simulation results demonstrate a three orders of magnitude reduction in the noise generated by this structure compared to that generated by a digital adder running at the same speed. This very good noise performance of these new adder structures makes them suitable choices for low to moderate speed high precision mixed signal applications.

Paper Details

Date Published: 2 November 1999
PDF: 12 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367680
Show Author Affiliations
Saeid Sadeghi-Emamchaie, Univ. of Windsor (Canada)
Graham A. Jullien, Univ. of Windsor (Canada)
W. C. Miller, Univ. of Windsor (Canada)


Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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