The approximate logarithmic multiplier proposed by Mitchell provides an efficient alternative
for processing dense multiplication or multiply-accumulate operations in applications such
as image processing and real-time robotics. It offers the advantages of small area, high
energy efficiency and is suitable for applications that do not necessarily achieve high
accuracy. However, its maximum error of 11.1% makes it challenging to deploy in
applications requiring relatively high accuracy. This paper proposes a novel operand�…

The logarithmic approximate multiplier proposed by Mitchell provides an efficient alternative
to accurate multipliers in terms of area and power consumption. However, its maximum error
of 11.1% makes it difficult to deploy in applications requiring high accuracy. To widely
reduce the error of the Mitchell multiplier, this paper proposes a novel operand
decomposition method which decomposes one operand into multiple operands and
calculates them using multiple Mitchell multipliers. Based on this operand decomposition�…