Imprecise Subtractor Using a New Efficient Approximate-Based Gate Diffusion Input Full Adder for Bioimages Processing.

Abstract

Approximate circuits are used in fault-tolerance applications, where carbon nanotube field-effect transistor (CNTFET) technology assists to achieve high performance. In this study, a new 8-transistor approximate full adder (FA) is designed and implemented using CNTFETs based on the gate diffusion input (GDI) technique. The FA is implemented in a ripple carry adder (RCA) and a 4-bit inexact subtractor for bioimages difference detection and finally stroke recognition. The non-full-swing outputs of the presented GDI cells are obviated by the dynamic threshold (DT) technique. The presented FA consumes a power of 2.0446 µW, while its power-delay-product (PDP) is 6.4536 fJ. Also, the superior results of peak signal-to-noise ratio (PSNR), power consumption, and PDP of the proposed subtractor are 30.866 dB, 9.642 µW, and 314.907 fJ, respectively. The FA has an area of 0.161 µm2 while the 4-bit subtractor occupies 2.18 µm2. The presented circuits show efficient performance for bioelectronics integrated circuits (ICs).