Abstract
| Original language | English |
|---|---|
| Journal | I E E E Signal Processing Letters |
| Volume | 19 |
| Issue number | 5 |
| Pages (from-to) | 283-286 |
| Number of pages | 4 |
| ISSN | 1070-9908 |
| DOIs | |
| Publication status | Published - 9 Mar 2012 |
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Keywords
- Adaptive filters
- Acoustic feedback cancellation
- Probe noise
- Convergence rate
- Steady-state behavior
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On Acoustic Feedback Cancellation Using Probe Noise in Multiple-Microphone and Single-Loudspeaker Systems. / Guo, Meng; Elmedyb, Thomas Bo; Jensen, Søren Holdt; Jensen, Jesper.
In: I E E E Signal Processing Letters, Vol. 19, No. 5, 09.03.2012, p. 283-286.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - On Acoustic Feedback Cancellation Using Probe Noise in Multiple-Microphone and Single-Loudspeaker Systems
AU - Guo, Meng
AU - Elmedyb, Thomas Bo
AU - Jensen, Søren Holdt
AU - Jensen, Jesper
PY - 2012/3/9
Y1 - 2012/3/9
N2 - A probe noise signal can be used in an acoustic feedback cancellation system to prevent biased adaptive estimation of acoustic feedback paths. However, practical experiences and simulation results indicate that when-ever a low-level and inaudible probe noise signal is used, the convergence rate of the adaptive estimation is significantly decreased when keeping the steady-state error unchanged. The goal of this work is to derive analytic expressions for the system behavior such as convergence rate and steady-state error for a multiple-microphone and single-loudspeaker audio system, where the acoustic feedback cancellation is carried out using a probe noise signal. The derived results show how different system parameters and signal properties affect the cancellation performance, and the results explain theoretically the decreased convergence rate. Understanding this is important for making further improvements in the existing probe noise approach.
AB - A probe noise signal can be used in an acoustic feedback cancellation system to prevent biased adaptive estimation of acoustic feedback paths. However, practical experiences and simulation results indicate that when-ever a low-level and inaudible probe noise signal is used, the convergence rate of the adaptive estimation is significantly decreased when keeping the steady-state error unchanged. The goal of this work is to derive analytic expressions for the system behavior such as convergence rate and steady-state error for a multiple-microphone and single-loudspeaker audio system, where the acoustic feedback cancellation is carried out using a probe noise signal. The derived results show how different system parameters and signal properties affect the cancellation performance, and the results explain theoretically the decreased convergence rate. Understanding this is important for making further improvements in the existing probe noise approach.
KW - Adaptive filters
KW - Acoustic feedback cancellation
KW - Probe noise
KW - Convergence rate
KW - Steady-state behavior
UR - http://www.scopus.com/inward/record.url?scp=84859728154&partnerID=8YFLogxK
U2 - 10.1109/LSP.2012.2190507
DO - 10.1109/LSP.2012.2190507
M3 - Journal article
VL - 19
SP - 283
EP - 286
JO - I E E E Signal Processing Letters
JF - I E E E Signal Processing Letters
SN - 1070-9908
IS - 5
ER -