DocumentCode :
1140882
Title :
An FPT algorithm with a modularized structure for computing two-dimensional discrete Fourier transforms
Author :
Wu, Ja-Ling ; Huang, Yuh-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Volume :
39
Issue :
9
fYear :
1991
fDate :
9/1/1991 12:00:00 AM
Firstpage :
2148
Lastpage :
2149
Abstract :
The fast polynomial transform (FPT) for computing two-dimensional discrete Fourier transforms is modularized into identical modules. In this new method, only FPTs and fast Fourier transforms of the same length are required. As a consequence, the architecture is more regular and naturally suitable for multiprocessor and VLSI implementations. The modularized FPT algorithms can simplify the problems of control, memory management, load balancing, etc., although more arithmetic operations are needed than with the original ones
Keywords :
fast Fourier transforms; polynomials; FPT algorithm; architecture; modularized structure; two-dimensional discrete Fourier transforms; Butler matrix; Eigenvalues and eigenfunctions; Equations; Jacobian matrices; Matrix decomposition; Multidimensional signal processing; Polynomials; Signal processing algorithms; Speech processing; Symmetric matrices;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.134460
Filename :
134460
Link To Document :
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