Abstract
This paper concerns active noise control (ANC) of impulsive noise modeled using Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of mean squared error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second order moments do not exist for Gaussian stable processes. Among the existing algorithms for ANC of impulsive noise, one is based on minimizing least mean ppower (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying the reference signal in update of FxLMS algorithm, on the basis of statistics of the reference signal. In this paper, the proposed algorithm is an extension of the later approach. Extensive simulations are carried out, which demonstrate the effectiveness of the proposed algorithm. It achieves the best performance among the existing algorithms, and at the same computational complexity as that of FxLMS algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 |
| DOIs | |
| Publication status | Published - Dec 1 2008 |
| Externally published | Yes |
| Event | 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 - Bangkok, Thailand Duration: Feb 8 2009 → Feb 11 2009 |
Conference
| Conference | 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 |
|---|---|
| Country | Thailand |
| City | Bangkok |
| Period | 2/8/09 → 2/11/09 |
Fingerprint
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Communication
Cite this
Adaptive algorithms for active noise control of SaS impulse noise. / Akhtar, Muhammad Tahir; Mitsuhashi, Wataru.
2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008. 2008. 4806738.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Adaptive algorithms for active noise control of SaS impulse noise
AU - Akhtar, Muhammad Tahir
AU - Mitsuhashi, Wataru
PY - 2008/12/1
Y1 - 2008/12/1
N2 - This paper concerns active noise control (ANC) of impulsive noise modeled using Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of mean squared error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second order moments do not exist for Gaussian stable processes. Among the existing algorithms for ANC of impulsive noise, one is based on minimizing least mean ppower (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying the reference signal in update of FxLMS algorithm, on the basis of statistics of the reference signal. In this paper, the proposed algorithm is an extension of the later approach. Extensive simulations are carried out, which demonstrate the effectiveness of the proposed algorithm. It achieves the best performance among the existing algorithms, and at the same computational complexity as that of FxLMS algorithm.
AB - This paper concerns active noise control (ANC) of impulsive noise modeled using Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of mean squared error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second order moments do not exist for Gaussian stable processes. Among the existing algorithms for ANC of impulsive noise, one is based on minimizing least mean ppower (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying the reference signal in update of FxLMS algorithm, on the basis of statistics of the reference signal. In this paper, the proposed algorithm is an extension of the later approach. Extensive simulations are carried out, which demonstrate the effectiveness of the proposed algorithm. It achieves the best performance among the existing algorithms, and at the same computational complexity as that of FxLMS algorithm.
UR - http://www.scopus.com/inward/record.url?scp=66749100835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=66749100835&partnerID=8YFLogxK
U2 - 10.1109/ISPACS.2009.4806738
DO - 10.1109/ISPACS.2009.4806738
M3 - Conference contribution
SN - 9781424425655
BT - 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
ER -