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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Kleinsteuber, M.; Seghouane, A.K. 
Titel:
A CG-type method for computing the dominant subspace of a symmetric matrix 
Abstract:
Computing the subspace spanned by the eigenvectors corresponding to the r largest eigenvalues of a symmetric matrix is an important subtask in many signal processing applications and statistics. Here, from the application side, we focus on subspace based algorithms for sensor node localization in wireless sensor networks. A conjugate gradient method on the Grassmann manifold is proposed to compute the r-dimensional dominant subspace of an (n × n)-symmetric matrix. This leads to new subspace algo...    »
 
Stichworte:
dominant subspace, signal space, principle component analysis, subspace methods, eigendecomposition, Grassmann manifold. 
Kongress- / Buchtitel:
9th Portuguese Conference on Automatic Control, CONTROLO 2010 
Jahr:
2010 
Reviewed:
ja 
Sprache:
en 
Semester:
SS 02 
Format:
Text