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
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