• DocumentCode
    112787
  • Title

    Intrinsic Integer-Periodic Functions for Discrete Periodicity Detection

  • Author

    Soo-Chang Pei ; Keng-Shih Lu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    22
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1108
  • Lastpage
    1112
  • Abstract
    In this letter we focus on discrete integer-periodic signals, whose periodicity are different from the periodicity of continuous periodic signals in many aspects. We introduce a class of discrete periodic signals called intrinsic integer-periodic function (IIPF). An IIPF contains only a single period in terms of downsampling, which leads to some interesting properties for analyzing periodic components from a discrete signal. We show that one can use Ramanujan sum to decompose discrete periodic signals into IIPF components. Finally, we also propose an integer periodic spectrum rather than frequency spectrum. Our results show that the proposed integer periodic spectrum outperforms the conventional Ramanujan Fourier transform.
  • Keywords
    signal sampling; IIPF; Ramanujan sum; discrete integer-periodic signals; discrete periodicity detection; integer periodic spectrum; intrinsic integer-periodic functions; Discrete Fourier transforms; Educational institutions; Electronic mail; Estimation; Finite impulse response filters; Integer-periodic signal; Ramanujan sum; periodicity mining; signal decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2014.2387430
  • Filename
    7001178