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  Nonlinear blind source separation using kernel feature spaces

Harmeling, S., Ziehe, A., Kawanabe, M., Blankertz, B., & Müller, K.-R. (2001). Nonlinear blind source separation using kernel feature spaces. In T.-W. Lee, T. Jung, S. Makeig, & T. Sejnowski (Eds.), Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001) (pp. 102-107).

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-E164-E Version Permalink: https://hdl.handle.net/21.11116/0000-0005-A855-E
Genre: Conference Paper

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Locator:
http://doc.ml.tu-berlin.de/publications/publications/HarZieKawBlaMue01.pdf (Any fulltext)
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 Creators:
Harmeling, S1, Author           
Ziehe, A, Author
Kawanabe, M, Author
Blankertz, B, Author
Müller, K-R1, Author           
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: In this work we propose a kernel-based blind source separation
(BSS) algorithm that can perform nonlinear BSS
for general invertible nonlinearities. For our kTDSEP algorithm
we have to go through four steps: (i) adapting to
the intrinsic dimension of the data mapped to feature space
F, (ii) finding an orthonormal basis of this submanifold,
(iii) mapping the data into the subspace of F spanned by
this orthonormal basis, and (iv) applying temporal decorrelation
BSS (TDSEP) to the mapped data. After demixing
we get a number of irrelevant components and the original
sources. To find out which ones are the components of
interest, we propose a criterion that allows to identify the
original sources. The excellent performance of kTDSEP is
demonstrated in experiments on nonlinearly mixed speech
data.

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 Dates: 2001-12
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 6364
 Degree: -

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Title: Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001)
Place of Event: San Diego, CA, USA
Start-/End Date: 2001-12-09 - 2001-12-12

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Title: Third International Conference on Independent Component Analysis and Blind Signal Separation (ICA 2001)
Source Genre: Proceedings
 Creator(s):
Lee, T-W, Editor
Jung, TP, Editor
Makeig, S, Editor
Sejnowski, TJ, Editor
Affiliations:
-
Publ. Info: -
Pages: 751 Volume / Issue: - Sequence Number: - Start / End Page: 102 - 107 Identifier: ISBN: 0-9724080-0-2