• DocumentCode
    1302751
  • Title

    Multirate processing of time series exhibiting higher order cyclostationarity

  • Author

    Izzo, Luciano ; Napolitano, Antonio

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Naples Univ., Italy
  • Volume
    46
  • Issue
    2
  • fYear
    1998
  • fDate
    2/1/1998 12:00:00 AM
  • Firstpage
    429
  • Lastpage
    439
  • Abstract
    The paper investigates the effects of multirate systems on the higher order wide-sense cyclostationarity (WSCS) properties of discrete-time series. To this end, definitions and properties of the cyclic higher order statistics, which were introduced for continuous-time series in the fraction-of-time probability framework, are first extended to discrete-time series. Then, starting from the consideration of the basic multirate building blocks, viz., M-fold decimators and L-fold interpolators, results for typical interconnections are derived. The problem of eliminating the images in the cyclic higher order spectra of an interpolated time series is addressed. Moreover, the problem of avoiding aliasing (in both cycle and spectral frequency domains) in the cyclic higher order spectra of a decimated time series is considered. Finally, a sufficient condition to avoid both aliasing and imaging effects in the cyclic higher order spectra of a time series decimated by a fractional factor is derived
  • Keywords
    discrete time systems; higher order statistics; interpolation; signal processing; spectral analysis; time series; aliasing effects; cyclic higher order spectra; cyclic higher order statistics; decimated time series; decimators; discrete-time series; fraction-of-time probability; fractional factor; higher order wide-sense cyclostationarity; imaging effects; interconnections; interpolated time series; interpolators; multirate processing; multirate systems; spectral frequency domain; sufficient condition; Frequency domain analysis; Higher order statistics; Probability; Sampling methods; Signal generators; Signal processing; Signal processing algorithms; Spectral analysis; Stochastic processes; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.655427
  • Filename
    655427