On blind separation of complex-valued sources by extended Hebbian learning

IEEE Signal Processing Letters

Volumn 8, Issue 8, 2001, Pages 217-220

  Fiori, S ^a  

^a UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Blind source separation; Hebbian learning; Neural networks

Indexed keywords

BLIND SOURCE SEPARATION; COMPUTER SIMULATION; FEEDFORWARD NEURAL NETWORKS; GLOBAL OPTIMIZATION; HEURISTIC METHODS; LAGRANGE MULTIPLIERS; QUADRATIC PROGRAMMING; RAYLEIGH FADING; SIGNAL PROCESSING;

CIRCULAR SOURCE SIGNALS; EXTENDED HEBBIAN LEARNING (EHA) ALGORITHMS;

LEARNING ALGORITHMS;

EID: 0035423687     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.935735     Document Type: Review

References (12)

1. ICA of complex valued signals: A fast and robust deflationary algorithm
2. Equivariant adaptive source separation
3. Complex-valued radial basis function networks - Part I: Network architecture and learning algorithms
4. Independent component analysis, a new concept?
5. Independent component analysis by general nonlinear Hebbian-like rules
6. Blind separation of circularly-distributed sources by neural extended APEX algorithm
7. A general class of ψ-APEX PCA neural algorithms
8. Blind signal processing by the adaptive activation function network
9. Generalizations of PCA, optimization problems, and neural networks
10. Optimal unsupervised learning in a single-layer linear feedforward neural network
11. Nonlinear Hebbian rule: A statistical interpretation
12. A cascade neural network for blind signal extraction without spurious equilibria