DocumentCode
1103105
Title
Discrete Fourier transform algorithms for real valued sequences
Author
Martens, Jean-Bernard
Author_Institution
University of Ghent, Ghent, Belgium
Volume
32
Issue
2
fYear
1984
fDate
4/1/1984 12:00:00 AM
Firstpage
390
Lastpage
396
Abstract
It is well known that the discrete Fourier transformation (DFT) of a real-valued sequence contains some redundancies. More precisely, approximately half of the DFT coefficients suffice to completely determine the DFT. In this paper, it is shown that the choice of the set of (nonredundant) DFT coefficients to be calculated affects the efficiency of the resulting algorithm. One especially interesting choice is discussed in detail for the case of mixed radix-(2, 3) DFT algorithms. Algorithms for the DFT calculation of both one and more dimensional real-valued arrays are discussed.
Keywords
Array signal processing; Convolution; Discrete Fourier transforms; Ear; Fourier transforms; Helium; Maximum likelihood detection; Polynomials; Signal analysis; Signal processing algorithms;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/TASSP.1984.1164310
Filename
1164310
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