New equations and iterative algorithm for blind separation of sources

Signal Processing

Volumn 82, Issue 6, 2002, Pages 861-873

  Martín Clemente, Rubén ^a,b   Acha, José I ^a  

^a UNIVERSIDAD DE SEVILLA   (Spain)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Blind source separation; Higher order statistics; Independent component analysis

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; INDEPENDENT COMPONENT ANALYSIS; ITERATIVE METHODS; LINEAR EQUATIONS; SIGNAL PROCESSING;

ITERATIVE ALGORITHMS;

BLIND SOURCE SEPARATION;

EID: 0036604358     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(02)00161-5     Document Type: Article

References (25)

1. A new learning algorithm for blind source separation
2. An information-maximization approach to blind separation and blind deconvolution
3. General approach to blind source separation
4. On the performance of orthogonal source separation algorithms
5. The equivariant approach to source separation
6. Blind signal separation: Statistical principles
7. Equivariant adaptive source separation
8. Blind beamforming for non-gaussian signals
9. Independent component analysis - A new concept?
10. A fast fixed-point algorithm for independent component analysis
11. Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture
12. A direct solution for blind separation of sources
13. Blind separation of sources using a new polynomial equation
14. High-order contrasts for self adaptive source separation
15. Separation of sources: A geometry-based procedure for reconstruction of N-valued signals
16. A neural learning algorithm for blind separation of sources based on geometrical properties
17. An algebraic principle for blind separation of non-gaussian sources