Adaptive Improved Natural Gradient Algorithm for Blind Source Separation
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Publication:3613625
DOI10.1162/neco.2008.07-07-562zbMath1157.94336OpenAlexW2130440543WikidataQ48871372 ScholiaQ48871372MaRDI QIDQ3613625
Jianqiang Liu, Da-Zheng Feng, Wei-Wei Zhang
Publication date: 12 March 2009
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/neco.2008.07-07-562
Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13) Source coding (94A29)
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- Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
- Blind separation of convolved mixtures in the frequency domain
- Independent component analysis, a new concept?
- A stochastic gradient adaptive filter with gradient adaptive step size
- Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC
- Learning representations by back-propagating errors
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