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Fast orthonormal PAST algorithm

delete2000-03-01
delete182
PRE
AI
K
Karim Abed‐Meraim *
Yingbo Hua 封面图
Yingbo Hua (Yingbo Hua)
DOI:10.1109/97.823526delete
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摘要

摘要

En 中文
This paper elaborates on an orthonormal version of the projection approximation and subspace tracking (PAST) algorithm for fast estimation and tracking of principal subspace or/and principal components of a vector sequence. The orthonormal PAST (OPAST) algorithm guarantees the orthonormality of the weight matrix at each iteration. Moreover, it has a linear complexity like the PAST algorithm and a global convergence property like the natural power (NP) method.
Keyword:
adaptive algorithm
principal component analysis
subspace tracking

期刊

IEEE Signal Processing Magazine 封面图
IEEE Signal Processing Magazine
IF:
9.6
论文数:
1.1W
被引数:
1.7W

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Spatio-temporal blind adaptive multiuser detection
err2000-05-01
err41
PREAI
errChkeif, A; Abed-Meraim, K; Kawas-Kaleh, G; Hua, Y
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