• DocumentCode
    284914
  • Title

    On the parameter estimation of the harmonic, evanescent and purely indeterministic components of homogeneous random fields

  • Author

    Francos, Joseph M. ; De Garrido, Diego P. ; Woods, John W.

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    3
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    41
  • Abstract
    A maximum-likelihood (ML) estimation procedure for the parameters of homogeneous random fields is presented. On the basis of a 2D Wold-like decomposition, the random field is decomposed into a sum of mutually orthogonal components of three types: purely indeterministic, harmonic, and generalized evanescent. Because, in general, a homogeneous random field is characterized by a mixed spectral distribution, parameter estimation techniques which are solely based on spectral density estimators are not adequate. An algorithm which results in a complete parameter estimation for the purely indeterministic and harmonic components of the homogeneous random field and in estimates for the evanescent component frequencies is presented. The new ML method produces highly accurate estimates of these parameters
  • Keywords
    filtering and prediction theory; maximum likelihood estimation; parameter estimation; spectral analysis; 2D Wold-like decomposition; 2D linear prediction problem; evanescent component frequencies; harmonic components; homogeneous random fields; maximum likelihood estimation; parameter estimation; purely indeterministic components; spectral analysis; Density functional theory; Frequency estimation; Hilbert space; Lattices; Maximum likelihood estimation; Parameter estimation; Systems engineering and theory; Technological innovation; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226281
  • Filename
    226281