Details

Title

A Novel Influence Function M-Estimator-Based for Active Noise Control

Journal title

Archives of Acoustics

Yearbook

2021

Volume

vol. 46

Issue

No 3

Affiliation

Hoseini Sabzevari, Seyed Amir : Department of Mechanical Engineering, University of Gonabad, Gonabad, 9691957678, Iran ; Hoseini Sabzevari, Seyed Iman : Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, 9177948974, Iran

Authors

Keywords

active noise control ; adaptive FIR ; M-estimator ; noise model

Divisions of PAS

Nauki Techniczne

Coverage

499-506

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Bibliography

1. Akhtar M.T., Mitsuhashi W. (2010), A modified normalized FxLMS algorithm for active control of impulsive noise, Proceedings of 18th European Signal Processing Conference (EUSIPCO), IEEE, pp. 1–5, Aalborg.
2. Ang L.Y.L., Koh Y.K., Lee H.P. (2017), The performance of active noise-canceling headphones in different noise environments, Applied Acoustics, 122: 16– 22, doi: 10.1016/j.apacoust.2017.02.005.
3. Behera S. K., Das D.P., Subudhi B. (2017), Adaptive nonlinear active noise control algorithm for active headrest with moving error microphones, Applied Acoustics, 123: 9–19, doi: 10.1016/j.apacoust.2017.03.002.
4. Darvish M., Frank S., Paschereit C.O. (2015), Numerical and experimental study on the tonal noise generation of a radial fan, Journal of Turbomachinery, 137(10): 101005, doi: 10.1115/1.4030498.
5. Elliott S. (2001), Signal Processing for Active Control, Academic Press, Elsevier.
6. Ertas H., Kaçıranlar S., Güler H. (2017), Robust Liu-type estimator for regression based on M-estimator, Communications in Statistics-Simulation and Computation, 46(5): 3907–3932, doi: 10.1080/03610918.2015.1045077.
7. Khan W.U., Ye Z., Altaf F., Chaudhary N.I., Raja M.A.Z. (2019), A novel application of fireworks heuristic paradigms for reliable treatment of nonlinear active noise control, Applied Acoustics, 146: 246–260, doi: 10.1016/j.apacoust.2018.11.024.
8. Kuo S.M., Morgan D.R. (1999), Active noise control: a tutorial review, Proceedings of the IEEE, 87(6): 943–973, doi: 10.1109/5.763310.
9. Lee J.W., Lee J.C., Pandey J., Ahn S.H., Kang Y.J. (2010), Mechanical properties and sound insulation effect of ABS/carbon-black composites, Journal of Composite Materials, 44(14): 1701–1716, doi: 10.1177/0021998309357673
10. Li J., Chen W. (2018), Singular boundary method based on time-dependent fundamental solutions for active noise control, Numerical Methods for Partial Differential Equations, 34(4): 1401–1421, doi: 10.1002/num.22263.
11. Lu L., Zhao H. (2017), Active impulsive noise control using maximum correntropy with adaptive kernel size, Mechanical Systems and Signal Processing, 87(part A) 180–191, doi: 10.1016/j.ymssp.2016.10.020.
12. Nelson P.A., Elliott S.J. (1991), Active Control of Sound, Academic Press, Elsevier. 13. Nunez I.J., Miranda J.G., Duarte M.V. (2019), Active noise control in acoustic shutters, Applied Acoustics, 152: 41–46, doi: 10.1016/j.apacoust.2019.03.024.
14. Patel V., George N.V. (2015), Nonlinear active noise control using spline adaptive filters, Applied Acoustics, 93: 38–43, doi: 10.1016/j.apacoust.2015.01.009.
15. Paul L. (1934), Process of silencing sound oscillations, Google patents. 16. Sabet S.M., Keshavarz R., Ohadi A. (2018), Sound isolation properties of polycarbonate/clay and polycarbonate/silica nanocomposites, Iranian Polymer Journal, 27(1): 57–66, doi: 10.1007/s13726-017-0585-2.
17. Sabzevari S.A.H., Moavenian M. (2017), Application of reinforcement learning for active noise control, Turkish Journal of Electrical Engineering & Computer Sciences, 25(4): 2606–2613.
18. Sen K.M., Morgan D.R. (1996), Active Noise Control Systems: Algorithms and DSP Implementations, John Wiley and Sons.
19. Suhail M., Chand S., Kibria B.G. (2019), Quantile-based robust ridge m-estimator for linear regression model in presence of multicollinearity and outliers, Communications in Statistics-Simulation and Computation, 1–13, doi: 10.1080/03610918.2019.1621339.
20. Sun G., Li M., Lim T.C. (2015), Enhanced filteredx least mean M-estimate algorithm for active impulsive noise control, Applied Acoustics, 90: 31–41, doi: 10.1016/j.apacoust.2014.10.012.
21. Tan L., Jiang J. (2015), Active control of impulsive noise using a nonlinear companding function, Mechanical Systems and Signal Processing, 58: 29–40, doi: 10.1016/j.ymssp.2015.01.010.
22. Thanigai P., Kuo S.M., Yenduri R. (2007), Nonlinear active noise control for infant incubators in neonatal intensive care units, Proceedings of 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, pp. 1–109, Honolulu, doi: 10.1109/ICASSP.2007.366628.
23. Vu H.-S., Chen K.H. (2017), A high-performance feedback FxLMS active noise cancellation VLSI circuit design for in-ear headphones, Circuits, Systems and Signal Processing, 36(7): 2767–2785, doi: 10.1007/s00034-016-0436-y.
24. Wu L., Qiu X. (2013), An M-estimator based algorithm for active impulse-like noise control, Applied Acoustics, 74(3: 407–412, doi: 10.1016/j.apacoust.2012.06.019.

Date

2021.09.21

Type

Article

Identifier

DOI: 10.24425/aoa.2021.138142
×