Low-error Fixed-Width Booth Multiplier using Approximation of Carry Function

This paper introduces an innovative solution for increasing precision of fixed-width radix-4 Booth multipliers through variable error compensation functions that leverage Approximation of Carry Function (ACF). Error compensation mechanisms typically comprise two carries-ideal and base carry function...

詳細記述

書誌詳細
主要な著者: Ganjikunta Ganesh Kumar, Sibghatullah Inyatullah Khan, G Prasad Acharya, Shravan Kumar S M
フォーマット: 論文
言語:English
出版事項: Tamkang University Press 2025-03-01
シリーズ:Journal of Applied Science and Engineering
主題:
オンライン・アクセス:http://jase.tku.edu.tw/articles/jase-202510-28-10-0008
その他の書誌記述
要約:This paper introduces an innovative solution for increasing precision of fixed-width radix-4 Booth multipliers through variable error compensation functions that leverage Approximation of Carry Function (ACF). Error compensation mechanisms typically comprise two carries-ideal and base carry functions–strategically chosen to minimize mean error. We present three distinct methods-ACF-1, ACF-2, and ACF-3—each employing fixed base values with varying column information (w) and bit lengths (N). Comparative analyses against recent studies demonstrate that our proposed fixed-width Booth multiplier using ACF-1 stands out in terms of accuracy and efficiency tradeoffs.
ISSN:2708-9967
2708-9975