An improved probe noise approach for acoustic feedback cancellation
Publikation: Forskning - peer review › Konferenceartikel i proceeding
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An improved probe noise approach for acoustic feedback cancellation. / Guo, Meng; Jensen, Søren Holdt; Jensen, Jesper.
Proc. 7th, Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE. IEEE Press, 2012. s. 497-500 (I E E E Workshop on Sensor Array and Multichannel Signal Processing).Publikation: Forskning - peer review › Konferenceartikel i proceeding
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TY - GEN
T1 - An improved probe noise approach for acoustic feedback cancellation
A1 - Guo,Meng
A1 - Jensen,Søren Holdt
A1 - Jensen,Jesper
AU - Guo,Meng
AU - Jensen,Søren Holdt
AU - Jensen,Jesper
PB - IEEE Press
PY - 2012/6/17
Y1 - 2012/6/17
N2 - The perhaps most challenging problem in acoustic feedback cancellation using adaptive filters is the bias problem. It is well-known that a probe noise approach can effectively prevent this problem. However, when the probe noise must be<br/>inaudible and the steady-state error of the adaptive filter must be unchanged, this approach causes a significantly decreased convergence rate of the adaptive filter, and might thereby be less useful in practical applications. In this work, we propose a new probe noise approach which significantly increases the convergence rate while maintaining the steady-state error of the adaptive algorithm in a multiple-microphone and single-loudspeaker audio system. This is obtained through a specifically designed probe noise signal and a corresponding probe noise enhancement strategy. We show the effects of the proposed probe<br/>noise approach by deriving analytical expressions for its system behavior, and through a simulation experiment in an acoustic feedback cancellation system.
AB - The perhaps most challenging problem in acoustic feedback cancellation using adaptive filters is the bias problem. It is well-known that a probe noise approach can effectively prevent this problem. However, when the probe noise must be<br/>inaudible and the steady-state error of the adaptive filter must be unchanged, this approach causes a significantly decreased convergence rate of the adaptive filter, and might thereby be less useful in practical applications. In this work, we propose a new probe noise approach which significantly increases the convergence rate while maintaining the steady-state error of the adaptive algorithm in a multiple-microphone and single-loudspeaker audio system. This is obtained through a specifically designed probe noise signal and a corresponding probe noise enhancement strategy. We show the effects of the proposed probe<br/>noise approach by deriving analytical expressions for its system behavior, and through a simulation experiment in an acoustic feedback cancellation system.
U2 - 10.1109/SAM.2012.6250548
DO - 10.1109/SAM.2012.6250548
SN - 978-1-4673-1070-3
BT - Proc. 7th, Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE
T2 - Proc. 7th, Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE
T3 - I E E E Workshop on Sensor Array and Multichannel Signal Processing
T3 - en_GB
SP - 497
EP - 500
ER -