• DocumentCode
    3012653
  • Title

    Maximum likelihood estimation of poles from impulse response data in noise

  • Author

    Park, Sung-won ; Cordaro, J.T.

  • Author_Institution
    Auburn University, Auburn, AL
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    1501
  • Lastpage
    1504
  • Abstract
    The iterative preprocessing algorithm (IPA) which estimates the poles of a linear system given a noisy observation of its impulse response is presented. Simulation results indicate that the IPA converges to the maximum-likelihood estimator for some ranges of SNR. The IPA requires less computation than some of the currently existing iterative algorithms and improves stability.
  • Keywords
    Computational modeling; Gaussian noise; Iterative algorithms; Laboratories; Linear systems; Maximum likelihood estimation; Nonlinear equations; Polynomials; Stability; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169433
  • Filename
    1169433
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3012653