2017
DOI: 10.1080/00207217.2017.1357207
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Low-power, high-speed 1-bit inexact Full Adder cell designs applicable to low-energy image processing

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Cited by 5 publications
(2 citation statements)
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“…Despite the fact that there is a large number of accurate current-mode FAs in the literature, the current-mode approximate versions are scarce. Recently, Zareei et al (2017) have presented three current-mode 1-bit inexact FAs (Figure 10). In all of them, the output CARRY is produced accurately; however the output SUM is equivalent to NOR, NAND and CARRY in CMIFA1, CMIFA2 and CMIFA3, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Despite the fact that there is a large number of accurate current-mode FAs in the literature, the current-mode approximate versions are scarce. Recently, Zareei et al (2017) have presented three current-mode 1-bit inexact FAs (Figure 10). In all of them, the output CARRY is produced accurately; however the output SUM is equivalent to NOR, NAND and CARRY in CMIFA1, CMIFA2 and CMIFA3, respectively.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This logic style has many advantages such as low noise sensitivity because of the constant flow of current (Delican and Yildirim, 2011), high speed (Badel et al , 2019), elimination of sign bit by using the direction of current as an interpretation of sign (Jamshidi and Fazeli, 2018), linear addition of current values without active devices (Yanushkevich, 2004), insignificant effects of fan-out circuits by using current mirrors without intensifying output load (Moradi et al , 2015) and simple circuit alteration by employing different threshold detectors (Jiang et al , 2015). These advantages have persuaded circuit designers to use this approach for designing analog and mixed-signal logical and computational blocks (Al-Absi et al , 2013; Beyraghi and Khoei, 2015; Moradi et al , 2016; Zareei et al , 2017). CML has also many other circuit applications such as memory cells, transmitters and frequency dividers (Chiou and Sung, 2019; Lozada and Espinosa, 2017; Tang et al , 2018).…”
Section: Introductionmentioning
confidence: 99%