Three easy ways for separating nonlinear mixtures?

DOI10.1016/J.SIGPRO.2003.10.011zbMath1145.94398OpenAlexW2125030400MaRDI QIDQ948371

Massoud Babaie-Zadeh, Shahram Hosseini, Christian Jutten

Publication date: 16 October 2008

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2003.10.011

zbMATH Keywords

independencemutual informationnonlinearsource separation

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Detection theory in information and communication theory (94A13)

Related Items (2)

Independent component analysis of instantaneous power-based fMRI ⋮ Recurrent networks for separating extractable-target nonlinear mixtures. I. Non-blind configurations

Uses Software

• FastICA

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