• DocumentCode
    2976252
  • Title

    Higher-order characterization of linear time-variant systems operating on generalized almost-cyclostationary signals

  • Author

    Izzo, Luciano ; Napolitano, Antonio

  • Author_Institution
    Dipt. di Ingegneria Elettronica & delle Telecomunicazioni, Naples Univ., Italy
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    375
  • Lastpage
    379
  • Abstract
    In this paper, the higher-order characterization of linear time-variant systems in the time domain is introduced in the fraction-of-time probability framework. Specifically, the Nth-order system temporal moment function is defined as the operator that transforms the almost-periodic component of the input Nth-order lag product into the almost-periodic component of the output Nth-order lag product. The proposed characterization turns out to be useful to analyze systems operating on almost-cyclostationary or, more generally, on generalized almost-cyclostationary signals since their lag products can be decomposed into can almost-periodic component and a residual term
  • Keywords
    higher order statistics; linear systems; probability; signal processing; time-domain analysis; Nth-order system temporal moment function; almost cyclostationary signals; almost-periodic component; fraction-of-time probability framework; generalized almost-cyclostationary signals; higher-order characterization; lag product; linear time-variant systems; residual term; Chirp; Context; Delay; Fourier series; Frequency domain analysis; Parameter estimation; Signal analysis; Signal processing; Statistics; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Caesarea
  • Print_ISBN
    0-7695-0140-0
  • Type

    conf

  • DOI
    10.1109/HOST.1999.778762
  • Filename
    778762