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
AN - SCOPUS:66749100835
SN - 9781424425655
T3 - 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
BT - 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
PB - IEEE Computer Society
T2 - 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
Y2 - 8 February 2009 through 11 February 2009
ER -