Active impulsive noise control algorithm based on an arctangent function
To address the issue that the filtered-x least mean square (FxLMS) algorithm loses its stability in impulsive noise environments resulting in failure of noise reduction, a modified reference signal filtered-x arctangent least mean square (MRFxatanLMS) algorithm is proposed. A nonlinear function is u...
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| Published in | Noise & vibration worldwide Vol. 56; no. 4-5; pp. 216 - 223 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
London, England
SAGE Publications
01.04.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0957-4565 2048-4062 |
| DOI | 10.1177/09574565251333082 |
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| Abstract | To address the issue that the filtered-x least mean square (FxLMS) algorithm loses its stability in impulsive noise environments resulting in failure of noise reduction, a modified reference signal filtered-x arctangent least mean square (MRFxatanLMS) algorithm is proposed. A nonlinear function is utilized to constrain abnormally large values in the reference signal without requiring complex threshold estimation. By embedding the cost function of the traditional FxLMS algorithm into the framework of the arctangent function, a novel cost function is formed to control the impulsive noise and improve the robustness of the noise reduction system. A compression factor is introduced into the cost function to adjust the compression degree of the error signal, thereby balancing the convergence speed and robustness of the algorithm. Simulation results demonstrate that compared with several other algorithms, the proposed algorithm performs well in different intensities of impulsive noise environments. |
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| AbstractList | To address the issue that the filtered-x least mean square (FxLMS) algorithm loses its stability in impulsive noise environments resulting in failure of noise reduction, a modified reference signal filtered-x arctangent least mean square (MRFxatanLMS) algorithm is proposed. A nonlinear function is utilized to constrain abnormally large values in the reference signal without requiring complex threshold estimation. By embedding the cost function of the traditional FxLMS algorithm into the framework of the arctangent function, a novel cost function is formed to control the impulsive noise and improve the robustness of the noise reduction system. A compression factor is introduced into the cost function to adjust the compression degree of the error signal, thereby balancing the convergence speed and robustness of the algorithm. Simulation results demonstrate that compared with several other algorithms, the proposed algorithm performs well in different intensities of impulsive noise environments. |
| Author | Gao, Xinglong Liu, Weiping |
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| Cites_doi | 10.1016/j.apacoust.2021.108438 10.1109/ICoSP.2012.6491656 10.1016/j.ymssp.2021.108552 10.1007/s00034-021-01814-6 10.1177/09574565241235326 10.1016/j.apacoust.2019.01.003 10.1201/b15923 10.13075/mp.5893.01491 10.1016/j.jsv.2005.06.011 10.1109/IJCNN.2009.5178823 10.1007/s00034-023-02421-3 10.1109/TSP.2007.896065 10.1016/j.ymssp.2018.01.035 10.1016/j.apacoust.2020.107753 10.1109/TASL.2010.2061227 10.1109/TCST.2005.863667 10.1016/j.apacoust.2015.01.006 10.1016/j.apacoust.2012.02.005 10.1007/s00034-023-02374-7 10.1109/ICASSP.1995.479472 10.1016/j.ymssp.2014.10.002 10.1016/j.jsv.2009.07.023 10.1121/1.386908 10.1016/j.scs.2023.104470 10.1016/j.apacoust.2020.107853 10.1371/journal.pone.0235287 10.1016/j.apacoust.2012.06.019 |
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| Keywords | impulsive noise arctangent function modified reference signal compression factor Active noise control |
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