Design And Analysis Of Approximate Multiplier With Reconfigurable Reduction
G.Siva Prasad
, Mrs.V.Sreelakshmi , B.Divya , Ch.N.B.Bhavani , B.Pratap Reddy
Approximate Multiplier, Low Power, Image processing, Neural Networks, Internet of things.
For a variety of different applications, including processing of image, expert systems, the smart things, and processing of digital systems, low-power and high-speed electronic system are now required. In a general multiplying operation account for most of the data processing time. The potential solution for hardware that operates quickly and efficiently is approximate multiplier. The approximate multiplier has developed into a key arithmetic element for many applications over the past ten years. So, Identifying a suitable multiplier which makes the trade-off between power and efficiency is important. In this Paper, We compared different Approximate Multipliers and find the suitable one.
"Design And Analysis Of Approximate Multiplier With Reconfigurable Reduction", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c72-c78, March-2023, Available :https://ijnrd.org/papers/IJNRD2303212.pdf
Volume 8
Issue 3,
March-2023
Pages : c72-c78
Paper Reg. ID: IJNRD_188928
Published Paper Id: IJNRD2303212
Downloads: 000118846
Research Area: Electronics & Communication Engg.
Country: Bapatla, Andhra Pradesh, India
DOI: http://doi.one/10.1729/Journal.33774
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
