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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Hlavní autoři:	Kankanala Srinivas, Gundugonti Kishore Kumar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Approximate computing approximate multiplier recursive multiplier low-power design image processing error-tolerant computing
On-line přístup:	https://ieeexplore.ieee.org/document/11543273/
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