• DocumentCode
    62989
  • Title

    Empirical Arithmetic Averaging Over the Compact Stiefel Manifold

  • Author

    Kaneko, Tetsuya ; Fiori, Simone ; Tanaka, T.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Univ. of Agric. & Technol. (TUAT), Koganei, Japan
  • Volume
    61
  • Issue
    4
  • fYear
    2013
  • fDate
    Feb.15, 2013
  • Firstpage
    883
  • Lastpage
    894
  • Abstract
    The aim of the present research work is to investigate algorithms to compute empirical averages of finite sets of sample-points over the Stiefel manifold by extending the notion of Pythagoras´ arithmetic averaging over the real line to a curved manifold. The idea underlying the developed algorithms is that sample-points on the Stiefel manifold get mapped onto a tangent space, where the average is taken, and then the average point on the tangent space is brought back to the Stiefel manifold, via appropriate maps. Numerical experimental results are shown and commented on in order to illustrate the numerical behaviour of the proposed procedure. The obtained numerical results confirm that the developed algorithms converge steadily and in a few iterations and that they are able to cope with relatively large-size problems.
  • Keywords
    Lie groups; arithmetic; iterative methods; matrix algebra; Lie group; Pythagoras arithmetic averaging; compact Stiefel manifold; empirical arithmetic averaging; iteration; matrix; Algorithm design and analysis; Manifolds; Materials; Matrix decomposition; Signal processing algorithms; Symmetric matrices; Arithmetic averaging; Cayley transform; QR decomposition; empirical averaging on matrix manifolds; manifold retraction; matrix manifolds; orthographic projection; polar decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2226167
  • Filename
    6340355