Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms
Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise contr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/3/1218 |
| _version_ | 1797318990990671872 |
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| author | Yan Liu Zhichun Lei |
| author_facet | Yan Liu Zhichun Lei |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | Mitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise control systems. However, the performance of this algorithm experiences significant degradation and does not converge properly in the presence of impulsive noise. Consequently, to uphold the stability of the ANC system, several robust adaptive algorithms tailored to handle shock noise interference have been introduced. This paper systematically organizes and classifies robust adaptive algorithms designed for impulse noise based on algorithmic criteria, offering valuable insights for the research and application of pertinent active impact noise control methods. |
| first_indexed | 2024-03-08T04:00:22Z |
| format | Article |
| id | doaj.art-35962d890b7940a895d44611a363d05e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T04:00:22Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-35962d890b7940a895d44611a363d05e2024-02-09T15:08:17ZengMDPI AGApplied Sciences2076-34172024-01-01143121810.3390/app14031218Review of Advances in Active Impulsive Noise Control with Focus on Adaptive AlgorithmsYan Liu0Zhichun Lei1School of Microelectronics, Tianjin University, Tianjin 300072, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaMitigating low-frequency noise in various industrial applications often involves the use of the filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error criterion. This algorithm has demonstrated effectiveness in reducing noise induced by Gaussian noise within noise control systems. However, the performance of this algorithm experiences significant degradation and does not converge properly in the presence of impulsive noise. Consequently, to uphold the stability of the ANC system, several robust adaptive algorithms tailored to handle shock noise interference have been introduced. This paper systematically organizes and classifies robust adaptive algorithms designed for impulse noise based on algorithmic criteria, offering valuable insights for the research and application of pertinent active impact noise control methods.https://www.mdpi.com/2076-3417/14/3/1218active impulsive noise controlnoise reductionadaptive algorithm |
| spellingShingle | Yan Liu Zhichun Lei Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms Applied Sciences active impulsive noise control noise reduction adaptive algorithm |
| title | Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms |
| title_full | Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms |
| title_fullStr | Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms |
| title_full_unstemmed | Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms |
| title_short | Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms |
| title_sort | review of advances in active impulsive noise control with focus on adaptive algorithms |
| topic | active impulsive noise control noise reduction adaptive algorithm |
| url | https://www.mdpi.com/2076-3417/14/3/1218 |
| work_keys_str_mv | AT yanliu reviewofadvancesinactiveimpulsivenoisecontrolwithfocusonadaptivealgorithms AT zhichunlei reviewofadvancesinactiveimpulsivenoisecontrolwithfocusonadaptivealgorithms |