• 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