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
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