Very-low-noise switching-free CNN-based adder

Saeid Sadeghi-Emamchaie; Graham A. Jullien; W. C. Miller

doi:10.1117/12.367680

2 November 1999 Very-low-noise switching-free CNN-based adder

Saeid Sadeghi-Emamchaie, Graham A. Jullien, W. C. Miller

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367680
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Saeid Sadeghi-Emamchaie, Graham A. Jullien, and W. C. Miller "Very-low-noise switching-free CNN-based adder", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367680

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