• Aug 09, 2018 News![CFP] The annual meeting of IJFCC Editorial Board, ICCTD 2019, will be held in Prague, Czech Republic during March 2-4, 2019.   [Click]
  • Aug 09, 2018 News!IJFCC Vol. 6, No. 1-No. 3 has been indexed by EI (Inspec).   [Click]
  • Apr 02, 2019 News!The papers published in Vol.7, No.3-No.4 have all received dois from Crossref.
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Cherry L. Chan
    • Abstracting/ Indexing: Google Scholar,  Crossref, Electronic Journals LibraryEI (INSPEC, IET), etc.
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(6): 678-681 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.251

Case Study of Grigoryan FFT onto FPGAs and DSPs

Narayanam Ranganadh, Parimal A Patel, and Artyom M. Grigoryan
Abstract—Frequency analysis plays vital role in the applications like cryptanalysis, steganalysis, system identification, controller tuning, speech recognition, noise filters, etc. Discrete Fourier Transform (DFT) is a principal mathematical method for the frequency analysis. The way of splitting the DFT gives out various fast algorithms. In this paper, we present the implementation of two fast algorithms for the DFT for evaluating their performance. One of them is the popular radix-2 Cooley-Tukey fast Fourier transform algorithm (FFT) [1] and the other one is the Grigoryan FFT based on the splitting by the paired transform [2]. We evaluate the performance of these algorithms by implementing them on the TMS320C62x DSP and also on the Virtex-II pro FPGAs. Finally we show that the paired-transform based algorithm of the FFT is faster than the radix-2 FFT, consequently it is useful for higher sampling rates.

Index Terms—Frequency analysis, fast algorithms, DFT, FFT, paired transforms.

Narayanam Ranganadh is with the Department of Electrical Engineering, The University of Texas at San Antonio (e-mail: ranganadh.narayanam@gmail.com)


Cite:Narayanam Ranganadh, Parimal A Patel, and Artyom M. Grigoryan, "Case Study of Grigoryan FFT onto FPGAs and DSPs," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 678-681, 2013.

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