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A multiplier has a significant impact on the speed and power dissipation of an arithmetic processor. Precise results are not always required in many algorithms, such as those for classification and recognition in data processing. Moreover, many errors do not make an obvious difference in applications such as image processing due to the perceptual limitations of human beings. Error-tolerant algorithms...
Approximate computing is best suited for error resilient applications, such as signal processing and multimedia. Approximate computing reduces accuracy, but it still provides meaningful and faster results with usually lower power consumption, this is particularly attractive for arithmetic circuits. In this paper, a new design approach is proposed to exploit the partitions of partial products using...
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