CNFET-based approximate ternary adders for energy-efficient image processing applications

Atiyeh Panahi; Fazel Sharifi; Mohammad Hossein Moaiyeri; Keivan Navi

doi:10.1016/j.micpro.2016.07.015

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CNFET-based approximate ternary adders for energy-efficient image processing applications

Atiyeh Panahi Fazel Sharifi Mohammad Hossein Moaiyeri Keivan Navi

Year: 2016 Journal: Microprocessors and Microsystems Vol: 47 Pages: 454-465 Publisher: Elsevier BV

DOI: 10.1016/j.micpro.2016.07.015

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Keywords:

Adder Computer science Carbon nanotube field-effect transistor Transistor count Multiplier (economics) Electronic circuit Logic gate Transistor Reduction (mathematics) Ternary operation Logic synthesis Energy consumption Electronic engineering Algorithm Field-effect transistor Mathematics Electrical engineering Voltage

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Low-power high-performance VLSI design

Physical Sciences → Engineering → Electrical and Electronic Engineering

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Analog and Mixed-Signal Circuit Design

Physical Sciences → Engineering → Biomedical Engineering

CNFET-based approximate ternary adders for energy-efficient image processing applications

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