• DocumentCode
    1368572
  • Title

    Sampling requirements for Volterra system identification

  • Author

    Frank, Walter A.

  • Author_Institution
    Inst. fur Math. & Datenverarbeitung, Univ. der Bundeswehr Munchen, Neubiberg, Germany
  • Volume
    3
  • Issue
    9
  • fYear
    1996
  • Firstpage
    266
  • Lastpage
    268
  • Abstract
    Volterra systems generally produce-due to nonlinearity-an output signal with a higher frequency range when compared with the input signal. Hence, it seems necessary to sample the input and output signals at twice the maximum frequency of the output signal. The article shows that it is sufficient to sample at twice the maximum frequency of the input signal. A discrete-time Volterra system also produces the additional frequency components that appear-due to aliasing-at the sampled output of a continuous-time Volterra system with an equivalent transfer function.
  • Keywords
    Volterra equations; continuous time systems; discrete time systems; filtering theory; identification; nonlinear filters; signal sampling; transfer functions; Volterra system identification; aliasing; continuous-time Volterra system; discrete-time Volterra system; frequency components; frequency range; input signal; maximum frequency; nonlinear filters; nonlinearity; output signal; sampled output; transfer function; Bandwidth; Fourier transforms; Frequency domain analysis; Kernel; Nonlinear filters; Nonlinear systems; Sampling methods; Signal processing; System identification; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.536597
  • Filename
    536597