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
Link To Document :
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