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A combined on-line PCA-ICA algorithm for blind source separation 
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2005 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

In this paper, we introduce and investigate a method combining principle component analysis (PCA) and independent component analysis (ICA) for blind source separation (BSS). A recursive method for the PCA is applied to meet the demands of a real-time application, and likewise a modified on-line version of the information maximization principle is used. The combined PCA-ICA algorithm, first reduces the dimension of the problem and then separates the signals. Evaluation of the proposed algorithm in a real room shows superior noise suppression capabilities compared to the use of PCA or ICA individually. The proposed algorithm achieves an impressive noise suppression/separation of up to 14 dB with only two microphones. Most importantly this is achieved with negligible distortion of the recovered signal. © 2005 IEEE.

Place, publisher, year, edition, pages
Perth, Australia: IEEE , 2005.
Keyword [en]
PCA, ICA, Blind Source Separation
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-8376Local ID: oai:bth.se:forskinfo50B092944C0680ADC12574FD00427A50ISBN: 0-7803-9132-2 (print)OAI: oai:DiVA.org:bth-8376DiVA: diva2:836089
Conference
Asia Pacific Conference on Communications 
Available from: 2012-09-18 Created: 2008-11-10 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
  • html
  • text
  • asciidoc
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