• DocumentCode
    1529531
  • Title

    Global convergence analysis for the NIC flow

  • Author

    Liu, Wanquan ; Yan, Wei-Yong ; Sreeram, V. ; Kok Lay Tao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    49
  • Issue
    10
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    2422
  • Lastpage
    2430
  • Abstract
    Previously, a family of fast subspace tracking algorithms based on a novel information criterion (NIC) has been proposed and investigated. It is known that these new algorithms are associated with a new kind of flow, which is called the NIC flow in this paper as in the case of the conventional Oja subspace algorithms with the Oja flow. In this paper, some fundamental questions about this new NIC flow such as its solution existence and convergence, are investigated. In addition, the convergence domain is characterized. Some important results on these issues are obtained via manifold theory
  • Keywords
    convergence; information theory; nonlinear dynamical systems; signal processing; tracking; NIC flow; convergence domain; fast subspace tracking algorithms; global convergence analysis; manifold theory; novel information criterion; solution existence; Algorithm design and analysis; Convergence; Differential equations; Error correction; Manifolds; Neural networks; Reactive power; Riccati equations; Signal processing algorithms; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.950796
  • Filename
    950796