Items related to Independent Component Analysis: A Tutorial Introduction...
Synopsis
A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples.
Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can...
About the Author
James V. Stone is a Reader in the Psychology Department at the University of Sheffield, England.
From the Inside Flap
"Independent component analysis is a recent and powerful addition to the methods that scientists and engineers have available to explore large data sets in high-dimensional spaces. This book is a clearly written introduction to the foundations of ICA and the practical issues that arise in applying it to a wide range of problems."
--Terrence J. Sejnowski, Howard Hughes Medical Institute, Salk Institute for Biological Studies, and...
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- PublisherBradford Books
- Publication date2004
- ISBN 10 0262693151
- ISBN 13 9780262693158
- BindingPaperback
- LanguageEnglish
- Number of pages193
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Independent Component Analysis: a tutorial introduction
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Massachusetts Institute of Technology, 2004
ISBN 10: 0262693151
ISBN 13: 9780262693158
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