Adaptive minor component extraction with modular structure

IEEE Transactions on Signal Processing

Volumn 49, Issue 9, 2001, Pages 2127-2137

  Ouyang, Shan ^b,c   Bao, Zheng ^a,b   Liao, Gui Sheng ^a,b   Ching, P C ^a,d  

^a IEEE

^b XIDIAN UNIVERSITY   (China)

^c GUILIN UNIVERSITY OF ELECTRONIC TECHNOLOGY   (China)

^d CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Adaptive algorithm; Information criterion; Minor component extraction; Neural networks; Parallel implementation; Stability analysis

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC FILTERS; INFORMATION THEORY; MATRIX ALGEBRA; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

MINOR COMPONENT EXTRACTION;

DIGITAL SIGNAL PROCESSING;

EID: 0035446871     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.942640     Document Type: Article

References (26)

1. An adaptive spectral analysis technique for unbiased frequency estimation in the presence of white noise
2. Least squares type algorithm for adaptive implementation of Pisarenko's harmonic retrieval method
3. Eigenfilter approaches to adaptive array processing
4. Rotational search methods for adaptive Pisarenko harmonic retrieval
5. Development and analysis of a neural network approach to Pisarenko's harmonic retrieval method
6. The retrieval of harmonics from a covariance function
7. Multiple emitter location and signal parameter estimation
8. Estimating the angles of arrival of multiple plane waves
9. Adaptive eigensubsapce algorithms for direction or frequency estimation and tracking
10. Principal component, minor component and linear neural networks
11. Modified Hebbian learning for curve and surface fitting
12. A unified neural bigradient algorithm for rbust PCA and MCA
13. A minor subspace analysis algorithm
14. Performance analysis of adaptive eigenanalysis algorithms
15. Orthogonal eigensubspace estimation using neural networks
16. On the inflation method in adaptive noise-subspace estimator
17. Adaptive step-size minor component extraction algorithm
18. Total least mean squares algorithm
19. Adaptive estimation of eigensubspace
20. Energy function for the one-unit Oja algorithm
21. Method of stochastic approximation in the determination of the largest eigenvalue of the mathematical expectation of random matrices
22. Global convergence of Oja's subspace algorithm for principal component extraction
23. Lyapunov function for convergence of principal component algorithms
24. Fast subspace tracking and neural network learning by a novel information criterion
25. A self-stabilized minor subspace rule