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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).
Original language | English |
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Title of host publication | 50th Asilomar Conference on Signals, Systems and Computers |
Publisher | IEEE |
Publication status | Accepted/In press - 19 Jul 2016 |
Event | 50th Asilomar Conference on Signals, Systems and Computers - Asilomar Conference Ground, Pacific Grove, CA, United States Duration: 6 Nov 2016 → 9 Nov 2016 http://www.asilomarsscconf.org/ |
Conference
Conference | 50th Asilomar Conference on Signals, Systems and Computers |
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Abbreviated title | Asilomar 2016 |
Country/Territory | United States |
City | Pacific Grove, CA |
Period | 6/11/16 → 9/11/16 |
Internet address |
Keywords
- narrowband noise cancellation techniques
- generalised eigenvalue decomposition
- multichannel Wiener filtering
- independent frequency bins
- polynomial matrices
- polynomial matrix eigenvalue decomposition
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Dive into the research topics of 'Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering'. Together they form a unique fingerprint.Projects
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Signal Processing Solutions for the Networked Battlespace
Soraghan, J. & Weiss, S.
EPSRC (Engineering and Physical Sciences Research Council)
1/04/13 → 31/03/18
Project: Research