• V.NAGA LAKSHMI
• P.Sandhya Rani
• P.Sushma Lavnya
• S.Manoj Murthy

Approximate computing is a technique which will be best suited for error resilient applications. In applications like multimedia signal processing and data mining which can tolerate error, exact computing units are not always necessary. They can be replaced with their approximate counterparts. Approximate computing reduces accuracy, but they are still provides faster results with usually low power consumption this is particularly suited for arithmetic circuits. In this paper, a new design is proposed to utilize the partitions of partial products using recursive multiplication for approximate multipliers. The simulation results shows that the proposed design achieve significant accuracy improvement together with power and delay reductions compared to previous approximate designs.

Approximate Computing, Multipliers, Low Power

"A design Of Recursive Based Approximate Multipliers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.54-60, April-2019, Available :http://www.jetir.org/papers/JETIR1904612.pdf

"A design Of Recursive Based Approximate Multipliers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp54-60, April-2019, Available at : http://www.jetir.org/papers/JETIR1904612.pdf