Independent Component Analysis
Neural networks (Computer science)Multivariate analysisIndependent component analysisRéseaux neuronaux (Informatique)Analyse multivariée
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Open LibraryAbout this book
"In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method." "Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code."--Jacket.
Themes & subjects
Neural networks (Computer science)Multivariate analysisIndependent component analysisRéseaux neuronaux (Informatique)Analyse multivariéeMultivariate analyse
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