Cooley-Tukey FFT Algorithms

  • Richard Tolimieri
  • Chao Lu
  • Myoung An
Part of the Signal Processing and Digital Filtering book series (SIGNAL PROCESS)


In the following two chapters, we will concentrate on algorithms for computing the Fourier transform (FT) of a size that is a composite number N. The main idea is to use the additive structure of the indexing set Z/N to define mappings of input and output data vectors into two-dimensional arrays. Algorithms are then designed, transforming two-dimensional arrays which, when combined with these input/output mappings, compute the N-point FT. The stride permutations of chapter 2 play a major role.


Fast Fourier Transform Fast Fourier Transform Algorithm Vector Operation Twiddle Factor Product Notation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Richard Tolimieri
    • 1
  • Chao Lu
    • 2
  • Myoung An
    • 3
  1. 1.Department of Electrical EngineeringCity College of CUNYNew YorkUSA
  2. 2.Department of Computer and Information SciencesTowson State UniversityTowsonUSA
  3. 3.A.J. Devaney AssociatesAllstonUSA

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