Subspace tracking in low-rank real-time systems
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Tarih
2006
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The truncated ULV decomposition (TULVD) provides good approximation to subspaces for the data matrix and can be modified quickly to reflect changes in the data. It also reveals the rank of the matrix. We develop an updating routine that is suitable for large scaled matrices of low rank. Numerical results presented that illustrate the accuracy of the algorithm. (c) 2005 Elsevier Inc. All rights reserved.
Açıklama
Erbay, Hasan/0000-0002-7555-541X
Anahtar Kelimeler
modifying decompositions, subspaces estimation
Kaynak
Applied Mathematics And Computation
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
173
Sayı
2
Künye
closedAccess