• DocumentCode
    1448434
  • Title

    Closed-Form Orthogonal Number Theoretic Transform Eigenvectors and the Fast Fractional NTT

  • Author

    Pei, Soo-Chang ; Wen, Chia-Chang ; Ding, Jian-Jiun

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    59
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    2124
  • Lastpage
    2135
  • Abstract
    In this paper, we propose a new method to find the closed-form solution of Number Theoretic Transform (NTT) eigenvectors. We construct the complete generalized Legendre sequence over the finite field (CGLSF) and use it to solve the NTT eigenvector problem. We derive the CGLSF-like NTT eigenvectors successfully, including the case where the operation field is defined over the Fermat and Mersenne numbers. The derived NTT eigenvector set is orthogonal and has a closed form. It is suitable for constructing sub-NTT building blocks for NTT implementation. In addition, with different eigenvalue assignment rule, we can construct the fractional number theoretic transform (FNTT), including the fractional Fermat number transform (FFNT), the fractional complex Mersenne number transform (FCMNT), and the fractional new Mersenne number transform (FNMNT). They are the generalizations of the original transforms and all have the complexities of O(Nlog2N).
  • Keywords
    eigenvalues and eigenfunctions; signal processing; transforms; CGLSF-like NTT eigenvector; FCMNT; FFNT; FNMNT; FNTT; closed-form orthogonal number theoretic transform eigenvector; fast fractional NTT; fractional Fermat number transform; fractional complex Mersenne number transform; fractional new Mersenne number transform; Complexity theory; Digital signal processing; Discrete Fourier transforms; Eigenvalues and eigenfunctions; Galois fields; Kernel; Complete generalized Legendre sequence; finite field; fractional number theoretic transform (FNTT); number theoretic transform (NTT); number theoretic transform (NTT) eigenvector;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2011.2113176
  • Filename
    5711690