On extending the complex FastICA algorithms to noisy data

DOI10.1016/J.NEUNET.2014.08.013zbMath1353.94020DBLPjournals/nn/RuanLQ14OpenAlexW2047224064WikidataQ35268508 ScholiaQ35268508MaRDI QIDQ889336

Zongli Ruan, Liping Li, Guobing Qian

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2014.08.013

zbMATH Keywords

noisy datastability conditionindependent component analysis (ICA)complex fast fixed-point algorithmpseudo-whitening

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Basic linear algebra (15A99)

Cites Work

• A Bayesian inverse solution using independent component analysis
• Independent component analysis, a new concept?
• Enhanced automatic artifact detection based on independent component analysis and Rényi's entropy
• On Extending the Complex FastICA Algorithm to Noncircular Sources
• Complex ICA Using Nonlinear Functions
• A Complex Generalized Gaussian Distribution— Characterization, Generation, and Estimation

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