• DocumentCode
    3098505
  • Title

    System reconstruction from selected HOS regions

  • Author

    Pozidis, Haralambos ; Petroupulu, A.P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1997
  • fDate
    21-23 Jul 1997
  • Firstpage
    224
  • Lastpage
    228
  • Abstract
    System reconstruction from arbitrarily selected slices of the n-th order output spectrum is considered. We establish that unique identification of the impulse response of a system can be performed, up to a scalar and a circular shift, based on any two horizontal slices of the discretized n-th order output spectrum, (n⩾3), as long as the distance between the slices and the grid size satisfy a simple condition. For the special case of real systems, one slice suffices for reconstruction. The ability to select the slices to be used for reconstruction enables one to avoid regions of the n-th order spectrum where the estimation variance is high, or where the ideal bispectrum is expected to be zero, as in the case of bandlimited systems. We propose a mechanism for selecting slices that result in improved system estimates. We also demonstrate via simulations the superiority, in terms of estimation bias and variance, of the proposed method over existing approaches in the case of bandlimited systems
  • Keywords
    estimation theory; frequency response; higher order statistics; identification; spectral analysis; HOS regions; bandlimited systems; bispectrum; circular shift; estimation variance; horizontal slices; identification; impulse response; n-th order output spectrum; scalar shift; system estimates; system reconstruction; Additive noise; Equations; Estimation error; Frequency estimation; Frequency response; Gaussian noise; Iterative methods; Low-frequency noise; Noise reduction; Reconstruction algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
  • Conference_Location
    Banff, Alta.
  • Print_ISBN
    0-8186-8005-9
  • Type

    conf

  • DOI
    10.1109/HOST.1997.613520
  • Filename
    613520