Extended Gaussianization Method for Blind Separation of Post-Nonlinear Mixtures
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Publication:5696496
DOI10.1162/0899766053011500zbMath1084.94006OpenAlexW2099403461MaRDI QIDQ5696496
Publication date: 18 October 2005
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/0899766053011500
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Stochastic learning and adaptive control (93E35) Time series analysis of dynamical systems (37M10)
Cites Work
- Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
- Information-theoretic approach to blind separation of sources in non-linear mixture
- Independent component analysis, a new concept?
- Multilayer feedforward networks are universal approximators
- Blind separation of instantaneous mixture of sources based on order statistics
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Blind separation of mixture of independent sources through a quasi-maximum likelihood approach
- Mutual information approach to blind separation of stationary sources
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