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Fast orthonormal PAST algorithm
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DOI：10.1109/97.823526.png)
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Abstract
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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.
Keywords:
adaptive algorithm
principal component analysis
subspace tracking
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9.6
Papers:
1.1W
Citations:
1.7W
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TRACKING A FEW EXTREME SINGULAR-VALUES AND VECTORS IN SIGNAL-PROCESSING.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
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