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Reseach Article

FPGA Implementation of FFT Using VEDIC Algorithm

Published on None 2011 by Feba D Benny, R Jegan
journal_cover_thumbnail
International Conference on VLSI, Communication & Instrumentation
Foundation of Computer Science USA
ICVCI - Number 9
None 2011
Authors: Feba D Benny, R Jegan
7e3ff11e-0cfe-4304-920e-d140d1fdfeec

Feba D Benny, R Jegan . FPGA Implementation of FFT Using VEDIC Algorithm. International Conference on VLSI, Communication & Instrumentation. ICVCI, 9 (None 2011), 7-9.

@article{
author = { Feba D Benny, R Jegan },
title = { FPGA Implementation of FFT Using VEDIC Algorithm },
journal = { International Conference on VLSI, Communication & Instrumentation },
issue_date = { None 2011 },
volume = { ICVCI },
number = { 9 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 7-9 },
numpages = 3,
url = { /proceedings/icvci/number9/2691-1372/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on VLSI, Communication & Instrumentation
%A Feba D Benny
%A R Jegan
%T FPGA Implementation of FFT Using VEDIC Algorithm
%J International Conference on VLSI, Communication & Instrumentation
%@ 0975-8887
%V ICVCI
%N 9
%P 7-9
%D 2011
%I International Journal of Computer Applications
Abstract

Many digital signals processing operation requires several multiplication and for the same we need very fast multiplier for a wide range of requirements for hardware and speed. This paper presents a FFT using for fast and area efficient digital multiplier based on Vedic algorithm. Digital multipliers are the core components of all the digital signal processors (DSPs) and the speed of the DSP is largely determined by the speed of its multipliers. Fast Fourier Transform (FFT) plays an important role in many signal and image processing, data analyzing for vibration sensors, frequency measurement of earthquakes and telecommunication systems such as WiMax technology which presents both wide bandwidth and wireless solutions.

References
  1. Shamim Akhter,”VHDL implementation of fast NXN multiplier based on Vedic mathematic”, jaypee institute of information technology university, 2007 IEEE.
  2. Harpreet Singh Dhillon ,Abhijit Mitra,” A Digital Multiplier Architecture using Urdhva Tiryakbhyam Sutra of Vedic Mathematics”, Indian Institute of Technology, Guwahati.
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  6. Ashish Raman, Anvesh Kumar and R.K.Sarin,” High Speed Reconfigurable FFT Design by Vedic Mathematics”, journal of computer science and engineering, volume 1, issue 1 may 2010.
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  8. Application N. Mahdavi, R. Teymourzadeh, IEEE Student Member, Masuri Bin Othman,” VLSI Implementation of High Speed and High Resolution FFT Algorithm Based on Radix 2 for DSP”. The 5th Student Conference on Research and Development –SCOReD 2007 11-12 December 2007, Malaysia.
  9. Parth Mehta, Dhanashri Gawali ,” Conventional versus Vedic mathematical method for Hardware implementation of a multiplier”,Department of Electronic and Telecommunication, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies.
  10. Clare Huggett, Koushik Maharatna, Kolin Paul.“On the Implementation of 128-Pt FFT/IFFT for High-Performance WPAN “, University of Bristol, Bristol, UK Indian Institute of Technology, Delhi, India, 2005 IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Urdhva Triyakbhyam VHDL FFT