An information theoretic approach to a novel nonlinear independent component analysis paradigm

DOI10.1016/J.SIGPRO.2005.01.002zbMATH Open1148.94374OpenAlexW2131235609MaRDI QIDQ956254

Daniele Vigliano, Aurelio Uncini, Raffaele Parisi

Publication date: 25 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2005.01.002

zbMATH Keywords

mutual informationblind source separationindependent component analysisKullback-Leibler divergencespline functionson-line learningnonlinear ICAfeedforward and recurrent networksflexible activation functions

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Detection theory in information and communication theory (94A13)

Related Items (4)

Independent Component Analysis and Blind Signal Separation ⋮ A unifying information-theoretic framework for independent component analysis ⋮ Complex Independent Component Analysis by Entropy Bound Minimization ⋮ An alternative approach to infomax and independent component analysis

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