DocumentCode :
2946692
Title :
Arithmetic complexity of the split-radix FFT algorithms
Author :
Bouguezel, Saad ; Ahmad, M. Omair ; Swamy, M.N.S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Volume :
5
fYear :
2005
fDate :
18-23 March 2005
Abstract :
A radix-2/16 decimation-in-frequency (DIF) fast Fourier transform (FFT) algorithm and its higher radix version, namely radix-4/16 DIF FFT algorithm, are proposed by suitably mixing the radix-2, radix-4 and radix-16 index maps, and combing some of the twiddle factors. It is shown that the proposed algorithms and the existing radix-2/4 and radix-2/8 FFT algorithms require exactly the same number of arithmetic operations (multiplications+additions). Moreover, by using techniques similar to these, it can be shown that all the possible split-radix FFT algorithms of the type radix-2r/2rs for computing a 2m-point DFT require exactly the same number of arithmetic operations.
Keywords :
computational complexity; digital arithmetic; fast Fourier transforms; signal processing; additions; arithmetic complexity; arithmetic operations; decimation-in-frequency fast Fourier transform algorithm; digital signal processing; multiplications; radix index maps; split-radix FFT algorithms; twiddle factors; Algorithm design and analysis; Arithmetic; Digital signal processing; Discrete Fourier transforms; Fast Fourier transforms; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416259
Filename :
1416259
Link To Document :
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