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  To infinity and beyond: On ICA over Hilbert Spaces

Gutch, H. W., & Theis, F. J. (2012). To infinity and beyond: On ICA over Hilbert Spaces. In F. J. Theis, A. Cichocki, A. Yeredor, & M. Zibulevsky (Eds.), Latent Variable Analysis and Signal Separation (pp. 180-187). Berlin Heidelberg: Springer Berlin Heidelberg.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-1129-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-112A-7
Genre: Book Chapter

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 Creators:
Gutch, Harold W.1, Author           
Theis, Fabian J., Author
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1Department of Nonlinear Dynamics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2063286              

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 Abstract: The original Independent Component Analysis (ICA) problem of blindly separating a mixture of a finite number of real-valued statistically independent one-dimensional sources has been extended in a number of ways in recent years. These include dropping the assumption that all sources are one-dimensional and some extensions to the case where the sources are not real-valued. We introduce an extension in a further direction, no longer assuming only a finite number of sources, but instead allowing infinitely many. We define a notion of independent sources for this case and show separability of ICA in this framework.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 633616
DOI: 10.1007/978-3-642-28551-6_23
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Title: Latent Variable Analysis and Signal Separation
Source Genre: Book
 Creator(s):
Theis, Fabian J., Editor
Cichocki, Andrzej, Editor
Yeredor, Arie, Editor
Zibulevsky, Michael, Editor
Affiliations:
-
Publ. Info: Berlin Heidelberg : Springer Berlin Heidelberg
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 180 - 187 Identifier: -

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Title: Lecture Notes in Computer Science
Source Genre: Series
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