A neural net for blind separation of nonstationary signals

Neural Networks

Volumn 8, Issue 3, 1995, Pages 411-419

  Matsuoka, Kiyotoshi ^a   Ohoya, Masahiro ^a   Kawamoto, Mitsuru ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Anti Hebbian learning; Blind separation; Nonstationary signals; Self organization

Indexed keywords

FUNCTIONS; INTERCONNECTION NETWORKS; LEARNING ALGORITHMS; LEARNING SYSTEMS; LINEAR NETWORKS; MATHEMATICAL TRANSFORMATIONS; RANDOM PROCESSES; SENSORS; SIGNAL PROCESSING; STATISTICAL METHODS;

ANTI-HEBBIAN LEARNING; BLIND SEPARATION; NONSTATIONARY SIGNALS; SELF ORGANIZATION;

NEURAL NETWORKS;

ARTICLE; COMPUTER MODEL; LEARNING; NERVE CELL NETWORK; PRIORITY JOURNAL;

EID: 0029064164     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/0893-6080(94)00083-X     Document Type: Article

References (10)

1. The matrix minimum principle
2. Blind separation of sources: A nonlinear neural algorithm
3. Separation of stochastic processes whose linear mixture is observed
4. Blind separation of sources, part II: Problem statement
5. Blind separation of sources, part I: An adaptive algorithm based on a neuromimetic architecture
6. Dynamics of learning in linear feature-discovery networks
7. A neural network that selforganizes to perform three operations related to principal component analysis
8. Blind separation of sources, part III: Stability analysis