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A Systematic Review of Approximate Adders: Accuracy and Performance Analysis

Authors :
M. Lakshmi Akhila
R. V. V. Krishna
Durgesh Nandan
E. Jagadeeswara Rao
Source :
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811572333
Publication Year :
2020
Publisher :
Springer Singapore, 2020.

Abstract

In present years, integration technology is drastically changed and urgently needs the high-speed adder circuits for the image processing (IP) applications (APL) like image smoothing (IS) and image sharpening (ISH), but unfortunately any exact adder circuit did not use IS and ISH, so few researchers proposed approximate adders (AA) for IP APL and also improved the speed compare to exact adder circuits (CKT), and still there is no systematic literature survey about AA. This paper gives the one root map for AA, and this is more useful for some of the researcher’s work in this area. Finally, the performance analysis of AA in terms of power consumption, delay, area, PDPm, and error is provided.

Details

Database :
OpenAIRE
Journal :
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811572333
Accession number :
edsair.doi...........276bd1bd75419b1737d3d4ba3511aa7d