• DocumentCode
    758772
  • Title

    Boundedness Behavior of the Spectral Factorization for Polynomial Data in the Wiener Algebra

  • Author

    Boche, Holger ; Pohl, Volker

  • Author_Institution
    Heinrich-Hertz-Chair for Mobile Commun., Tech. Univ. Berlin, Berlin
  • Volume
    56
  • Issue
    7
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    3100
  • Lastpage
    3107
  • Abstract
    Spectral factorization is of fundamental importance in many areas of signal processing. This paper investigates the boundedness behavior of the spectral factorization mapping in the Wiener algebra. Thereby, the focus lies on the factorization of polynomial spectral densities with a finite degree N since such spectra are especially important for practical applications. The paper presents a lower and an upper bound on the boundedness behavior which will show that the boundedness constant of the spectral factorization mapping gets worse as the degree N of the spectra increases. Therewith, one obtains independently the known result that the spectral factorization mapping is unbounded on the Wiener algebra.
  • Keywords
    Wiener filters; polynomials; signal processing; spectral analysis; Wiener algebra; boundedness behavior; polynomial spectral density; signal processing; spectral factorization mapping; Algebra; Communication system control; Filters; Mobile communication; Polynomials; Process control; Signal processing; Spectral analysis; Transfer functions; Upper bound; BIBO-stability; dimensional effects; error bounds; spectral factorization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2008.917422
  • Filename
    4545249