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Sparse Multichannel Source Localization and Separation
University College Dublin, Ireland.ORCID iD: 0000-0002-3912-1470
2008 (English)In: / [ed] The Institute of Mathematics and its Applications, Cirencester: The Institute of Mathematics and its Applications , 2008, 90-93 p.Conference paper, Published paper (Refereed)
Abstract [en]

The DUET and DESPRIT blind source separation algorithms attempt to recover J sources from I mixtures of these sources, in the interesting case where J > I, with minimal information about the mixing environment of underling sources statistics. We present a semi-blind generalization of the DUET-DESCRIPT approach which allows arbitary placement of the sensors and demixes the sources given the room impulse response. We learn a sparse representation of the mixtures on an over-complete spatial signatures dictionary. We localize and separate the constituent sources via binary masking of a power weighted histogram in location space or in attenuation-delay space. We demonstrate the robustness of this technique using synthetic room experiments.

Place, publisher, year, edition, pages
Cirencester: The Institute of Mathematics and its Applications , 2008. 90-93 p.
Keyword [en]
Sparse Signal Processing; Blind Source Separation; Time-Frequency Analysis
National Category
Signal Processing
Research subject
Applied and Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-175440OAI: oai:DiVA.org:kth-175440DiVA: diva2:860976
Conference
8th International Conference on Mathematics in Signal Processing
Projects
EOLAS
Note

QC 20151216

Available from: 2015-10-14 Created: 2015-10-14 Last updated: 2015-12-16Bibliographically approved

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fulltext(3532 kB)26 downloads
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de Fréin, Ruairí

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf