Exploration of CNTFET-Oriented Approximate Full Adders Techniques, Challenges, and Future Prospects

Approximate Full Adder is considered important for approximate computing to bring out improvements in the efficiency of circuit design. Adders are constituted as the fundamental blocks of arithmetic circuits and are considered important for computation devices. Arithmetic circuits are based on Carbon Nanotube Field Effect Transistor (CNFET)technology and broadly used in image processing, digital signal processing applications. The Carbon nanotube Field Effect transistor is one of the significant areas of research going and adaptable for scaling. It overcome the challenges such as high leakage current, hot effect on electrons, Drain-Induced Barrier Lowering (DIBL), impacts on a short channel effect, etc. They are having of P-type and N-type CNFET’s of equal sizes and provide same drive currents, that is essential for reducing the transistor sizes in the complex circuit designs. To evaluate the efficiency between transistor level and application-level simulations HSPICE and MATLAB software are carried out. The results that obtain from HSPICE software with the full adders/multipliers/approximate adders are carried out in applications of image processing.

Publication Details

Journal
Journal on Electronic and Automation Engineering
Published
2025-04-21
DOI
https://doi.org/10.46632/jeae/4/2/23
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
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article

Exploration of CNTFET-Oriented Approximate Full Adders Techniques, Challenges, and Future Prospects

Journal on Electronic and Automation Engineering
Low-power high-performance VLSI design
article

Exploration of CNTFET-Oriented Approximate Full Adders Techniques, Challenges, and Future Prospects

article en

Abstract

Approximate Full Adder is considered important for approximate computing to bring out improvements in the efficiency of circuit design. Adders are constituted as the fundamental blocks of arithmetic circuits and are considered important for computation devices. Arithmetic circuits are based on Carbon Nanotube Field Effect Transistor (CNFET)technology and broadly used in image processing, digital signal processing applications. The Carbon nanotube Field Effect transistor is one of the significant areas of research going and adaptable for scaling. It overcome the challenges such as high leakage current, hot effect on electrons, Drain-Induced Barrier Lowering (DIBL), impacts on a short channel effect, etc. They are having of P-type and N-type CNFET’s of equal sizes and provide same drive currents, that is essential for reducing the transistor sizes in the complex circuit designs. To evaluate the efficiency between transistor level and application-level simulations HSPICE and MATLAB software are carried out. The results that obtain from HSPICE software with the full adders/multipliers/approximate adders are carried out in applications of image processing.

Journal on Electronic and Automation EngineeringVol. 4(2 June 2025)
Openalex Percentile: Top 94%
Low-power high-performance VLSI design
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Exploration of CNTFET-Oriented Approximate Full Adders Techniques, Challenges, and Future Prospects · Journal on Electronic and Automation Engineering (2025) | TGRS Research Map | TGRS