• DocumentCode
    2213351
  • Title

    Tensor product formulation for Hilbert space-filling curves

  • Author

    Lin, Shen-Yi ; Chen, Chih-Shen ; Liu, Li ; Huang, Chua-Huang

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung
  • fYear
    2003
  • fDate
    9-9 Oct. 2003
  • Firstpage
    99
  • Lastpage
    106
  • Abstract
    We present a tensor product formulation for Hilbert space-filling curves. Both recursive and iterative formulas are expressed. We view a Hilbert space-filling curve as a permutation which maps two-dimensional 2ntimes2n data elements stored in the row major or column major order to the order of traversing a Hilbert space-filling curve. The tensor product formula of Hilbert space-filling curves uses several permutation operations: stride permutation, radix-2 gray permutation, transposition, and antidiagonal transposition. The iterative tensor product formula can be manipulated to obtain the inverse Hilbert permutation. Also, the formulas are directly translated into computer programs which can be used in various applications including R-tree indexing, image processing, and process allocation, etc
  • Keywords
    Hilbert spaces; matrix algebra; tensors; Hilbert space-filling curves; R-tree indexing; antidiagonal transposition; image processing; inverse Hilbert permutation; iterative formulas; process allocation; radix-2 gray permutation; recursive approach; stride permutation; tensor product formulation; transposition; Application software; Biomedical engineering; Biomedical imaging; Biomedical informatics; Computer science; Grid computing; Hilbert space; Image processing; Indexing; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2003. Proceedings. 2003 International Conference on
  • Conference_Location
    Kaohsiung
  • ISSN
    0190-3918
  • Print_ISBN
    0-7695-2017-0
  • Type

    conf

  • DOI
    10.1109/ICPP.2003.1240570
  • Filename
    1240570