Abstract
the best performance among the existing algorithms, and at the same computational complexity as that of FxLMS algorithm.
Original language | English |
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Article number | http://dx.doi.org/10.1016/j.jsv.2009.07.023 |
Pages (from-to) | 647-656 |
Journal | Journal of Sound and Vibration |
Volume | 327 |
Issue number | 3-5 |
Publication status | Published - Sep 2009 |
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Improving performance of FxLMS algorithm for active noise control of impulsive noise. / Muhammad Tahir, Akhtar; Mitsuhashi, Wataru.
In: Journal of Sound and Vibration, Vol. 327, No. 3-5, http://dx.doi.org/10.1016/j.jsv.2009.07.023, 09.2009, p. 647-656.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Improving performance of FxLMS algorithm for active noise control of impulsive noise
AU - Muhammad Tahir, Akhtar
AU - Mitsuhashi, Wataru
PY - 2009/9
Y1 - 2009/9
N2 - This paper concerns active noise control (ANC) of impulsive noise modeled using non-Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second-order moments do not exist for non-Gaussian processes. Among the existing algorithms for ANC of impulsive noise, one is based on minimizing least mean p-power (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying, on the basis of statistical properties, the reference signal in update of FxLMS algorithm. 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 achievesthe 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 non-Gaussian stable processes. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on minimization of variance of error signal. For the impulse noise, the FxLMS algorithm becomes unstable, as second-order moments do not exist for non-Gaussian processes. Among the existing algorithms for ANC of impulsive noise, one is based on minimizing least mean p-power (LMP) of the error signal, resulting in FxLMP algorithm. The other is based on modifying, on the basis of statistical properties, the reference signal in update of FxLMS algorithm. 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 achievesthe best performance among the existing algorithms, and at the same computational complexity as that of FxLMS algorithm.
M3 - Article
VL - 327
SP - 647
EP - 656
JO - Journal of Sound and Vibration
JF - Journal of Sound and Vibration
SN - 0022-460X
IS - 3-5
M1 - http://dx.doi.org/10.1016/j.jsv.2009.07.023
ER -