An Efficient Architecture of Vedic Multiplier using FinFet Based Pass Transistor Logic

Main Authors: B.Paulchamy, K.Kalpana, J.Jaya
Other Authors: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
Format: Article Journal
Bahasa: eng
Terbitan: , 2020
Subjects:
Online Access: https://zenodo.org/record/5582455
ctrlnum 5582455
fullrecord <?xml version="1.0"?> <dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><contributor>Blue Eyes Intelligence Engineering &amp; Sciences Publication (BEIESP)</contributor><creator>B.Paulchamy</creator><creator>K.Kalpana</creator><creator>J.Jaya</creator><date>2020-02-29</date><description>Multiplies is an important component in Digital Signal Processing (DSP) and communication systems. It is utilized in signal and image processing applications including convolution, Fast Fourier Transform (FFT) and correlation. Therefore, it is necessary to develop a multiplier with power efficient and speed to reduce the cost of the system. Vedic multiplier has been introduced to solve the problems of existing multiplier. It is based on 16 algorithms. These algorithms use algebra, arithmetic operations and geometry. Urdhva Tiryabhyam is widely employed formula which provides high speed and efficient. Vedic multiplies generates partial sums and products in single step. It has been designed using pass transistor logic which reduces the number of components utilized to build logic gates by removing unwanted transistors. This paper design a vedic multiplier with FinFET based pass transistor logic. The developed multiplies provides better performance and suitable for high speed applications. 2x2 and 4x4 vedic multipliers are developed and executed 180nm approach with Tanner EDA Tool 3.0.</description><identifier>https://zenodo.org/record/5582455</identifier><identifier>10.35940/ijeat.C5311.029320</identifier><identifier>oai:zenodo.org:5582455</identifier><language>eng</language><relation>issn:2249-8958</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><source>International Journal of Engineering and Advanced Technology (IJEAT) 9(3) 2605-2611</source><subject>Vedic Multiplier, FinFET based Pass Transistor, High performance, Low power optimized circuit.</subject><subject>ISSN</subject><subject>Retrieval Number</subject><title>An Efficient Architecture of Vedic Multiplier using FinFet Based Pass Transistor Logic</title><type>Journal:Article</type><type>Journal:Article</type><recordID>5582455</recordID></dc>
language eng
format Journal:Article
Journal
Journal:Journal
author B.Paulchamy
K.Kalpana
J.Jaya
author2 Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
title An Efficient Architecture of Vedic Multiplier using FinFet Based Pass Transistor Logic
publishDate 2020
topic Vedic Multiplier
FinFET based Pass Transistor
High performance
Low power optimized circuit
ISSN
Retrieval Number
url https://zenodo.org/record/5582455
contents Multiplies is an important component in Digital Signal Processing (DSP) and communication systems. It is utilized in signal and image processing applications including convolution, Fast Fourier Transform (FFT) and correlation. Therefore, it is necessary to develop a multiplier with power efficient and speed to reduce the cost of the system. Vedic multiplier has been introduced to solve the problems of existing multiplier. It is based on 16 algorithms. These algorithms use algebra, arithmetic operations and geometry. Urdhva Tiryabhyam is widely employed formula which provides high speed and efficient. Vedic multiplies generates partial sums and products in single step. It has been designed using pass transistor logic which reduces the number of components utilized to build logic gates by removing unwanted transistors. This paper design a vedic multiplier with FinFET based pass transistor logic. The developed multiplies provides better performance and suitable for high speed applications. 2x2 and 4x4 vedic multipliers are developed and executed 180nm approach with Tanner EDA Tool 3.0.
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subject_area Multidisciplinary
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