Blind source separation with nonlinear autocorrelation and non-Gaussianity

DOI10.1016/J.CAM.2008.10.031zbMath1168.94003OpenAlexW1965308754MaRDI QIDQ1023329

Fugen Zhou, Jihao Yin, Zhiguo Jiang, Zhen-wei Shi

Publication date: 11 June 2009

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2008.10.031

zbMATH Keywords

blind source separationindependent component analysisnon-Gaussianitynonlinear autocorrelation

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Hybrid linear and nonlinear complexity pursuit for blind source separation

Uses Software

• FastICA
• ICALAB

Cites Work

• Blind separation of sources. I: An adaptive algorithm based on neuromimetic architecture
• A new constrained fixed-point algorithm for ordering independent components
• Independent component analysis by general nonlinear Hebbian-like learning rules
• Independent component analysis, a new concept?
• Complexity Pursuit: Separating Interesting Components from Time Series
• Blind Source Separation Using Temporal Predictability
• Extraction of Specific Signals with Temporal Structure
• Indeterminacy and identifiability of blind identification
• Blind separation of instantaneous mixtures of nonstationary sources

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