• DocumentCode
    323981
  • Title

    Using a pair of HOS slices for system reconstruction: methodology and performance analysis

  • Author

    Pozidis, Haralambos ; Petropulu, Athina P.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Drexel Univ., Philadelphia, PA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    2-5 Nov. 1997
  • Firstpage
    463
  • Abstract
    We present a method for unique identification of the impulse response of a system, based on any two horizontal slices of the discretized n-th order output spectrum, (n/spl ges/3). We establish a necessary and sufficient condition for the relationship between the distance of the slices and the grid size, under which reconstruction is possible. The conducted statistical analysis of the method indicates that, if the n-th order spectrum estimates are asymptotically unbiased and consistent, the system estimates are asymptotically unbiased and consistent too. 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 finally 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
    parameter estimation; signal reconstruction; spectral analysis; statistical analysis; transient response; HOS slices; asymptotically unbiased estimates; bandlimited systems; bispectrum; consistent estimates; estimation bias; estimation variance; grid size; higher order spectra; horizontal slices; impulse response identification; necessary condition; output spectrum; performance analysis; simulations; spectrum estimates; statistical analysis; sufficient condition; system estimates; system reconstruction; Additive noise; Distortion; Estimation error; Noise reduction; Noise robustness; Parametric statistics; Performance analysis; Phase noise; Statistical analysis; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-8186-8316-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.1997.680370
  • Filename
    680370