• DocumentCode
    3046443
  • Title

    Linear prediction in the singular case and the stability of eigen models

  • Author

    Gueguen, Cedric

  • Author_Institution
    Ecole Nationale Superieure des Telecommunications, Paris
  • Volume
    6
  • fYear
    1981
  • fDate
    29677
  • Firstpage
    881
  • Lastpage
    885
  • Abstract
    The paper gives some insight on the use of Levinson´s recursion on non positive Toeplitz matrices. The critical case, where a principal minor is zero, leads to define a new lossless lattice structure with zeros on the unit circle, also useful in the standard case. The stability of the AR models built on the eigen vectors of a Toeplitz is also examined, most of the corresponding zeros are shown to lie on the unit circle. The results apply to noise cancellation, spectral line analysis and computation of eigenvectors of correlation matrices.
  • Keywords
    Antenna arrays; Covariance matrix; Eigenvalues and eigenfunctions; Iterative algorithms; Lattices; Noise cancellation; Noise reduction; Predictive models; Spectral analysis; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '81.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1981.1171238
  • Filename
    1171238