• DocumentCode
    696723
  • Title

    Optimal pole conditions for Laguerre models that satisfy some interpolation constraints, using an || · ||p norm, 1 < p < ∞

  • Author

    Oliveira e Silva, Tomas

  • Author_Institution
    Dept. de Electron. e Telecomun., Univ. de Aveiro, Aveiro, Portugal
  • fYear
    2000
  • fDate
    4-8 Sept. 2000
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The optimal pole conditions for Laguerre models are available in the literature for the || · ||2 norms (for continuous-time or discrete-time systems, with or without an impulsive input signal, and in the time or frequency domains). Recently, the author was able to extend the available results i) to other || · ||p norms, and ii) to models whose responses to known input signals satisfy, in the time and/or frequency domains, some interpolation constraints. In this paper we combine both extensions. It turns out that the optimality conditions for the poles of Laguerre models constrained as stated above, and using an || · ||p norm, have the same functional form as the already available optimality conditions: the last optimal weight of the model vanishes or the last optimal weight of the model of the next higher order vanishes.
  • Keywords
    frequency-domain analysis; interpolation; optimisation; signal processing; stochastic processes; time-domain analysis; Laguerre models; continuous-time systems; discrete-time systems; frequency domains; functional form; impulsive input signal; interpolation constraints; optimal pole conditions; optimal weight; optimality conditions; time domains; || · ||2 norms; || · ||p norms; Equations; Frequency-domain analysis; Gain; Interpolation; Mathematical model; Predictive models; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2000 10th European
  • Conference_Location
    Tampere
  • Print_ISBN
    978-952-1504-43-3
  • Type

    conf

  • Filename
    7075344