• DocumentCode
    1275860
  • Title

    Adaptive polynomial factorization by coefficient matching

  • Author

    Starer, David ; Nehorai, Arye

  • Author_Institution
    Dept. of Electr. Eng., Yale Univ., New Haven, CT, USA
  • Volume
    39
  • Issue
    2
  • fYear
    1991
  • fDate
    2/1/1991 12:00:00 AM
  • Firstpage
    527
  • Lastpage
    530
  • Abstract
    A polynomial factorization algorithm is presented which updates all roots simultaneously and efficiently in response to coefficient perturbations. The algorithm requires approximately 2n2 complex floating point operations to update all roots of n th order polynomial. Close to the true root vector, the algorithm´s convergence rate is quadratic. The root update requires only the solution of two sets of structured linear equations and a convolution. The algorithm can be used to track the roots of time-varying polynomials which is useful for application in adaptive signal processing
  • Keywords
    polynomials; signal processing; adaptive polynomial factorisation; adaptive signal processing; coefficient matching; coefficient perturbations; complex floating point operations to update all roots of n; convergence rate; convolution; root update; structured linear equations; time-varying polynomials; true root vector; Adaptive signal processing; Array signal processing; Convolution; Equations; Polynomials; Sensor arrays; Signal processing algorithms; Speech processing; System identification; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.80848
  • Filename
    80848