• DocumentCode
    921896
  • Title

    A state-space approach to discrete-time spectral factorization

  • Author

    Fairman, Frederick W. ; Danylchuk, G.J. ; Louie, J. ; Zarowski, C.J.

  • Author_Institution
    Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    39
  • Issue
    3
  • fYear
    1992
  • fDate
    3/1/1992 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    170
  • Abstract
    The classical state-space approach to continuous-time spectral factorization is used to develop a method for discrete-time spectral factorization. This results in a quadratic matrix equation which is referred to as the modified algebraic Riccati equation (MARE). Solving this equation for the factorizing solution constitutes the major part of the computation needed to obtain the spectral factor. Recently developed approaches to the analysis and solution of the matrix Riccati equation encountered in continuous-time control and filtering problems are adapted for use
  • Keywords
    matrix algebra; signal processing; state-space methods; discrete-time spectral factorization; modified algebraic Riccati equation; quadratic matrix equation; state-space approach; Filtering; Matrix decomposition; Optimal control; Poles and zeros; Polynomials; Process control; Riccati equations; Signal processing; State-space methods; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.127300
  • Filename
    127300