Efficient Approximate Recursive Multipliers (EARM) for Area and Power Optimized Image Processing Applications

This paper proposes a novel approximate multiplier designed to improve efficiency in digital systems by exploiting controlled approximation while minimizing hardware requirements. Four incremental gate-level variants architectures of approximate multipliers are developed and used as building blocks...

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Główni autorzy:	Kankanala Srinivas, Gundugonti Kishore Kumar
Format:	Artigo
Język:	Inglês
Wydane:	IEEE 2026-01-01
Seria:	IEEE Access
Hasła przedmiotowe:	Approximate computing approximate multiplier recursive multiplier low-power design image processing error-tolerant computing
Dostęp online:	https://ieeexplore.ieee.org/document/11543273/
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