Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering

Corr, Jamie and Pestana, Jennifer and Weiss, Stephan and Redif, Soydan and Moonen, Marc; (2017) Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering. In: 50th Asilomar Conference on Signals, Systems and Computers. IEEE, USA, pp. 1-5. ISBN 9781538639542 (https://doi.org/10.1109/ACSSC.2016.7869596)

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Abstract

State of the art narrowband noise cancellation techniques utilise the generalised eigenvalue decomposition (GEVD) for multichannel Wiener filtering which can be applied to independent frequency bins in order to achieve broadband processing. Here we investigate the extension of the GEVD to broadband, polynomial matrices, akin to strategies that have already been developed by McWhirter et. al on the polynomial matrix eigenvalue decomposition (PEVD).

ORCID iDs

Corr, Jamie ORCID: https://orcid.org/0000-0001-9900-0796

Pestana, Jennifer ORCID: https://orcid.org/0000-0003-1527-3178

Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206

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• Item metadata

  Item type:	Book Section
  ID code:	57611
  Dates:	Date Event 6 March 2017 Published 19 July 2016 Accepted
  Notes:	Copyright 2016 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE J. Corr, J. Pestana, S. Weiss, I. K. Proudler, S. Redif and M. Moonen, "Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering," 2016 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, USA, 2016, pp. 1354-1358, doi: 10.1109/ACSSC.2016.7869596
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Faculty of Science > Mathematics and Statistics Technology and Innovation Centre > Sensors and Asset Management
  Depositing user:	Pure Administrator
  Date deposited:	31 Aug 2016 15:38
  Last modified:	11 Nov 2024 15:06
  URI:	https://strathprints.strath.ac.uk/id/eprint/57611