@ARTICLE{Hoseini_Sabzevari_Seyed_Amir_A_2021,
 author={Hoseini Sabzevari, Seyed Amir and Hoseini Sabzevari, Seyed Iman},
 volume={vol. 46},
 number={No 3},
 journal={Archives of Acoustics},
 pages={499-506},
 howpublished={online},
 year={2021},
 publisher={Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics},
 abstract={M-estimators are widely used in active noise control (ANC) systems in order to update the adaptive FIR filter taps. ANC systems reduce the noise level by generating anti-noise signals. Up to now, the evaluation of M-estimators capabilities has shown that there exists a need for further improvements in this area. In this paper, a new improved M-estimator is proposed. The sensitivity of the proposed algorithm to the variations of its constant parameter is checked in feedforward control. The effectiveness of the algorithm in both types is proved by comparing it with previous studies. Simulation results show the steady performance and fast initial convergence of the proposed algorithm.},
 type={Article},
 title={A Novel Influence Function M-Estimator-Based for Active Noise Control},
 URL={http://journals.pan.pl/Content/120782/aoa.2021.138142.pdf},
 doi={10.24425/aoa.2021.138142},
 keywords={active noise control, adaptive FIR, M-estimator, noise model},
}