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PDE-SVD Based Audio Denoising
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, The Institute of Technology. (Sound and Video Technology)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-3324-2298
Mosul University, Mosul, Iraq.
2012 (English)In: Proceedings of the 5th International Symposium on Communications Control and Signal Processing (ISCCSP), 2012, Piscataway, NJ, USA: IEEE , 2012, 1-6 p.Conference paper, Oral presentation only (Refereed)
Abstract [en]

In this paper we present a new method for denoising audio signals. The method is based on the Singular Value Decomposition (SVD) of the frame matrix representing the signal inthe Overlap Add decomposition. Denoising is performed by modifying both the singular values, using a tapering model, and the singular vectors of the representation, using a nonlinear PDE method. The performance of the method is evaluated and compared with denoising obtained by filtering.

Place, publisher, year, edition, pages
Piscataway, NJ, USA: IEEE , 2012. 1-6 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-78784DOI: 10.1109/ISCCSP.2012.6217853ISBN: 978-1-4673-0274-6 (print)OAI: oai:DiVA.org:liu-78784DiVA: diva2:535821
Conference
5th International Symposium on Communications Control and Signal Processing (ISCCSP), Rome, Italy, 2-4 May 2012
Available from: 2012-06-27 Created: 2012-06-20 Last updated: 2016-05-04Bibliographically approved

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Baravdish, GeorgeEvangelista, GianpaoloSvensson, Olof

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CiteExportLink to record
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  • apa
  • harvard1
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More styles
Language
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