变化检测应用的高效近似减法

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Fatemeh Pooladi;Farshad Pesaran;Nabiollah Shiri
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引用次数: 0

摘要

近似全减法(FSs)用于图像处理中的无符号恢复除法(dr)的变化检测。本文介绍了两种新型的8和6晶体管单比特近似FSs,其中第一个电路采用XNOR-F2门,第二个电路采用多路复用器- f2门。电路命名为XNF2和MF2。该设计采用栅极扩散输入(GDI)技术和32nm碳纳米管场效应晶体管(CNTFET)技术实现。XNF2以良好的错误率(ER)提高了延迟和面积,只有两个错误。MF2在功率、面积、精度和无误差距离(ED) bbbb1之间进行了适当的权衡,导致平均相对ED (MRED) < 0.375,只有3个误差。不同的优点值(FoMs)确认了单元在容错应用(如变更检测)中的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Efficient Approximate Subtractors for Change Detection Applications
Approximate full subtractors (FSs) are used in unsigned restoring dividers (Drs) for change detection in image processing. In this letter, two new single-bit approximate FSs with eight and six transistors are presented which first circuit uses XNOR-F2 gates while the second one is designed based on multiplexer-F2 gates. The circuits are named XNF2 and MF2. The designs are implemented by the gate diffusion input (GDI) technique and 32-nm carbon nanotube field-effect transistor (CNTFET) technology. The XNF2 improves the delay and area with a favorable error rate (ER), with only two errors. The MF2 creates a suitable tradeoff between power, area, and accuracy and free of error distance (ED) > 1 that leads to a mean relative ED (MRED) < 0.375 and only 3 errors. Different figures of merits (FoMs) confirm the reliability of the cells for error-resilient applications, like change detection.
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来源期刊
IEEE Embedded Systems Letters
IEEE Embedded Systems Letters Engineering-Control and Systems Engineering
CiteScore
3.30
自引率
0.00%
发文量
65
期刊介绍: The IEEE Embedded Systems Letters (ESL), provides a forum for rapid dissemination of latest technical advances in embedded systems and related areas in embedded software. The emphasis is on models, methods, and tools that ensure secure, correct, efficient and robust design of embedded systems and their applications.
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