The fast householder Bi-SVD subspace tracking algorithm

被引:12
作者
Strobach, Peter [1 ]
机构
[1] AST Consulting Inc, D-94133 Rohrnbach, Germany
关键词
subspace tracking; Bi-SVD; QS-decomposition; householder;
D O I
10.1016/j.sigpro.2008.05.004
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 [电气工程]; 0809 [电子科学与技术];
摘要
A new bi-iteration type subspace tracker for updating a rank-r SVD approximant of a time-varying cross-correlation matrix of dimension N x M is introduced. The algorithm is based on updated orthonormal-square (QS) decompositions with row-Householder reflections and attains a dominant: complexity of 3Nr + 3Mr operations per time update, which is the lower bound of dominant complexity for an algorithm of this kind. A closed form quasicode listing of the algorithm is provided. Computer experiments validate the theoretical results. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:2651 / 2661
页数:11
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