DocumentCode :
1172975
Title :
Radix r^{k} FFTs: Matricial Representation and SDC/SDF Pipeline Implementation
Author :
Cortés, Ainhoa ; Vélez, Igone ; Sevillano, Juan F.
Author_Institution :
CEIT, Univ. of Navarra, San Sebastian
Volume :
57
Issue :
7
fYear :
2009
fDate :
7/1/2009 12:00:00 AM
Firstpage :
2824
Lastpage :
2839
Abstract :
This paper proposes to use the discrete Fourier transform (DFT) matrix factorization based on the Kronecker product to express the family of radix rk single-path delay commutator/single-path delay feedback (SDC/SDF) pipeline fast Fourier transform (FFT) architectures. The matricial expressions of the radix r, r 2, r 3, and r 4 decimation-in-frequency (DIF) SDC/SDF pipeline architectures are derived. These expressions can be written using a small set of operators, resulting in a compact representation of the algorithms. The derived expressions are general in terms of r and the number of points of the FFT N. Expressions are given where it is not necessary that N is a power of rk. The proposed set of operators can be mapped to equivalent hardware circuits. Thus, the designer can easily go from the matricial representations to their implementations and vice versa. As an example, the mapping of the operators is shown for radix 2, 22, 23, and 24, and the details of the corresponding SDC/SDF pipeline FFT architectures are presented. Furthermore, a general expression is given for the SDC/SDF radix rk pipeline architectures when k > 4. This general expression helps the designer to efficiently handle a wider design exploration space and select the optimum single-path architecture for a given value of N.
Keywords :
discrete Fourier transforms; matrix algebra; pipeline processing; signal processing; Kronecker product; SDC/SDF; discrete Fourier transform matrix factorization; matricial expressions; matricial representation; pipeline implementation; radix rk FFT; Discrete Fourier transform; fast Fourier transform; matrix decomposition; pipeline processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2009.2016276
Filename :
4787010
Link To Document :
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