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Reseach Article

Review of Parallel Polynomial Multiplier based on FFT using Indian Vedic Mathematics

by Shilpa Jumde, R. N. Mandavgane, D. M. Khatri
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 17
Year of Publication: 2015
Authors: Shilpa Jumde, R. N. Mandavgane, D. M. Khatri
10.5120/19756-1379

Shilpa Jumde, R. N. Mandavgane, D. M. Khatri . Review of Parallel Polynomial Multiplier based on FFT using Indian Vedic Mathematics. International Journal of Computer Applications. 111, 17 ( February 2015), 10-13. DOI=10.5120/19756-1379

@article{ 10.5120/19756-1379,
author = { Shilpa Jumde, R. N. Mandavgane, D. M. Khatri },
title = { Review of Parallel Polynomial Multiplier based on FFT using Indian Vedic Mathematics },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 17 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number17/19756-1379/ },
doi = { 10.5120/19756-1379 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:09.101694+05:30
%A Shilpa Jumde
%A R. N. Mandavgane
%A D. M. Khatri
%T Review of Parallel Polynomial Multiplier based on FFT using Indian Vedic Mathematics
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 17
%P 10-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In general, most of the operations performed by any complex system need a multiplier. Hence, multiplier based on FFT is the desired aim. In this paper, we have presented a review of parallel polynomial multiplier based on FFT using Indian Vedic mathematics. Parallel polynomial multipliers were optimized for throughput and area resources, respectively. These multipliers are used for multiplication of different polynomial numbers based on exponential type, power type, etc. FFT system is used for multiplication so complex multiplier is the main part of this design. The coding of the design can be done in VHDL. For synthesis and simulation of the design Xilinx ISE EDA tool can be used.

References
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Index Terms

Computer Science
Information Sciences

Keywords

FFT Polynomial multiplier Vedic Mathematics VHDL XILINX.