Abstract
| Language | English |
|---|---|
| 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 |
|---|---|
| Abbreviated title | Asilomar 2016 |
| Country | United States |
| City | Pacific Grove, CA |
| Period | 6/11/16 → 9/11/16 |
| Internet address |
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Keywords
- narrowband noise cancellation techniques
- generalised eigenvalue decomposition
- multichannel Wiener filtering
- independent frequency bins
- polynomial matrices
- polynomial matrix eigenvalue decomposition
Cite this
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Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering. / Corr, Jamie; Pestana, Jennifer; Weiss, Stephan; Redif, Soydan ; Moonen, Marc.
50th Asilomar Conference on Signals, Systems and Computers. IEEE, 2016.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
TY - GEN
T1 - Investigation of a polynomial matrix generalised EVD for multi-channel Wiener filtering
AU - Corr, Jamie
AU - Pestana, Jennifer
AU - Weiss, Stephan
AU - Redif, Soydan
AU - Moonen, Marc
N1 - 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
PY - 2016/7/19
Y1 - 2016/7/19
N2 - 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).
AB - 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).
KW - narrowband noise cancellation techniques
KW - generalised eigenvalue decomposition
KW - multichannel Wiener filtering
KW - independent frequency bins
KW - polynomial matrices
KW - polynomial matrix eigenvalue decomposition
UR - http://www.asilomarsscconf.org/
M3 - Conference contribution book
BT - 50th Asilomar Conference on Signals, Systems and Computers
PB - IEEE
ER -