Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Numerically-robust O(N/sup 2/) RLS algorithms using least-squares prewhitening
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Projection approximation subspace tracking
IEEE Transactions on Signal Processing
Neural networks for blind decorrelation of signals
IEEE Transactions on Signal Processing
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In this paper we propose a new principal component extracting algorithm based on the PAST. A prewhitening procedure is introduced, which makes it numerically robust. The estimation capability of the proposed algorithm is demonstrated by computer simulations of DOA (Degree of Arrival) estimation. The estimation results of the proposed PAST outperform those of the ordinary PAST.