• DocumentCode
    1196233
  • Title

    Positive definite combination of symmetric matrices

  • Author

    Zaïdi, Abdelhamid

  • Author_Institution
    Dept. de Math., Inst. Nat. des Sci. Appliquees et de Technol., Tunis, Tunisia
  • Volume
    53
  • Issue
    11
  • fYear
    2005
  • Firstpage
    4412
  • Lastpage
    4416
  • Abstract
    This correspondence presents a new algorithm to find a positive definite combination of some given real symmetric matrices. When this problem has solutions, we show that it can be written as an optimization problem. An iterative algorithm using a relaxation type method is proposed to solve this optimization problem. We also prove that this algorithm has a finite-step global convergence property. A comparison, by computer simulations, shows that our algorithm is much faster than another one generally proposed in literature to find such a combination.
  • Keywords
    blind source separation; convergence of numerical methods; iterative methods; matrix algebra; optimisation; relaxation theory; blind source separation; finite-step global convergence property; iterative algorithm; optimization problem; relaxation type method; symmetric matrices; Additive noise; Blind source separation; Colored noise; Computational modeling; Computer simulation; Iterative algorithms; Optimization methods; Symmetric matrices; Vectors; White noise; Convex optimization; eigendecomposition; positive definite matrices; relaxation type method;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2005.855077
  • Filename
    1519708