• DocumentCode
    3003615
  • Title

    Levinson and Schur algorithms for Toeplitz matrices with singular minors

  • Author

    Pombra, S. ; Lev-Ari, H. ; Kailath, T.

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • fYear
    1988
  • fDate
    11-14 Apr 1988
  • Firstpage
    1643
  • Abstract
    A simple general method for overcoming singularities in the Levinson (and Schur) recursions for Toeplitz systems is presented. It is based on a generalization of the conventional three-term recursion for polynomials orthogonal on the unit circle: the scalar coefficients of the conventional three-term recursion are replaced by polynomial coefficients whose degree is determined by the depth of singularity. The depth of the singularity is related to the number of additional zero elements that occur in the Schur recursion. The authors´ method also makes it possible to recursively determine the inertia of a Hermitian Toeplitz matrix
  • Keywords
    matrix algebra; polynomials; recursive functions; Hermitian Toeplitz matrix; Levinson algorithms; Schur algorithms; Toeplitz matrices; inertia; polynomials; recursions; scalar coefficients; singular minors; singularities; Array signal processing; Contracts; Equations; Information systems; Inverse problems; Least squares methods; Polynomials; Predictive models; Reflection; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.1988.196928
  • Filename
    196928