Blind source recovery: Algorithms for static and dynamic environments

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2001, Pages 902-907

  Salam, F M ^a   Erten, G ^a   Waheed, K ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; SIGNAL FILTERING AND PREDICTION; STATE SPACE METHODS;

BLIND SOURCE DECONVOLUTION; BLIND SOURCE RECOVERY;

BLIND SOURCE SEPARATION;

EID: 0034867447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Blind source separation of real world signals
2. A unifying information-theoretic framework for independent component analysis
3. Multichannel blind deconvolution and equalization using the natural gradient
4. Blind deconvolution of dynamical systems: A state space approach
5. An adaptive network for blind separation of independent signals
6. Implementation and experimental results of a chip for the separation of mixed and filtered signals
7. Algorithms for blind signal separation and recovery in static and dynamic environments
8. The state space framework for blind dynamic signal extraction and recovery
9. Voice extraction by on-line signal separation and recovery