2017
DOI: 10.1142/s0218126617500827
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A Novel High-Speed, Low-Power CNTFET-Based Inexact Full Adder Cell for Image Processing Application of Motion Detector

Abstract: This paper presents a novel inexact full adder based on carbon nanotube field-effect transistors (CNTFET) for approximate computations, which has soared in popularity especially for image processing applications. The proposed design generates the output carry without error. Therefore, the propagation of incorrect value to higher bit positions is avoided. It has the least relative error distance (Relative ED) compared to other approximate full adders reported in the literature. Practical simulations by using MA… Show more

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Cited by 27 publications
(25 citation statements)
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“…It can be measured using Equation , which is given as PD=()Average power dissipation×()worst case delay. PDP of all the inexact FAs, proposed as well as existing, is listed in Column IV of Table . The proposed inexact FA shows reduction in PDP up to 89.2% as compared with existing inexact FA . This is achieved because of lesser number of switching nodes along with the lesser switching capacitance in the proposed inexact FA.…”
Section: Simulations and Discussionmentioning
confidence: 87%
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“…It can be measured using Equation , which is given as PD=()Average power dissipation×()worst case delay. PDP of all the inexact FAs, proposed as well as existing, is listed in Column IV of Table . The proposed inexact FA shows reduction in PDP up to 89.2% as compared with existing inexact FA . This is achieved because of lesser number of switching nodes along with the lesser switching capacitance in the proposed inexact FA.…”
Section: Simulations and Discussionmentioning
confidence: 87%
“…Average power depends on total switched capacitance of the circuit. The proposed inexact FA achieves reduction in average power dissipation up to 93% as compared with the latest existing inexact FA . It is due to the reduction in capacitance of the switching nodes.…”
Section: Simulations and Discussionmentioning
confidence: 94%
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