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Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources

Lee, TW; Girolami, M; Sejnowski, TJ; (1999) Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. NEURAL COMPUTATION , 11 (2) pp. 417-441. 10.1162/089976699300016719.

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Type: Article
Title: Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources
DOI: 10.1162/089976699300016719
Keywords: Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, NEUROSCIENCES, BLIND SOURCE SEPARATION, LEARNING ALGORITHM, MAXIMUM-LIKELIHOOD, SIGNALS
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Maths and Physical Sciences
URI: http://discovery.ucl.ac.uk/id/eprint/1339703
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