Feedforward selective fixed-filter active noise control : algorithm and implementation
Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter. However, lengthy training is usually required, and the perceived noise reduction is not immediately realized. Motivat...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10356/142040 |
| _version_ | 1826126634641522688 |
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| author | Shi, Dongyuan Gan, Woon-Seng Lam, Bhan Wen, Shulin |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Shi, Dongyuan Gan, Woon-Seng Lam, Bhan Wen, Shulin |
| author_sort | Shi, Dongyuan |
| collection | NTU |
| description | Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter. However, lengthy training is usually required, and the perceived noise reduction is not immediately realized. Motivated by the practical implementation, we propose a selective fixed-filter active noise control (SFANC) algorithm, which selects a pre-trained control filter to attenuate the detected primary noise rapidly. On top of improved robustness, the complexity analysis reveals that SFANC appears to be more efficient. The SFANC algorithm chooses the most suitable control filter based on the frequency-band-match approach implemented in a partitioned frequency-domain filter. Through simulations, SFANC is shown to exhibit a satisfactory response time and steady-state noise reduction performance, even for time varying noise and real nonstationary disturbance. |
| first_indexed | 2024-10-01T06:55:33Z |
| format | Journal Article |
| id | ntu-10356/142040 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:55:33Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1420402023-07-28T06:13:37Z Feedforward selective fixed-filter active noise control : algorithm and implementation Shi, Dongyuan Gan, Woon-Seng Lam, Bhan Wen, Shulin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Active Noise Control Selective Fixed-filter Active Noise Control Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter. However, lengthy training is usually required, and the perceived noise reduction is not immediately realized. Motivated by the practical implementation, we propose a selective fixed-filter active noise control (SFANC) algorithm, which selects a pre-trained control filter to attenuate the detected primary noise rapidly. On top of improved robustness, the complexity analysis reveals that SFANC appears to be more efficient. The SFANC algorithm chooses the most suitable control filter based on the frequency-band-match approach implemented in a partitioned frequency-domain filter. Through simulations, SFANC is shown to exhibit a satisfactory response time and steady-state noise reduction performance, even for time varying noise and real nonstationary disturbance. 2020-06-15T04:21:15Z 2020-06-15T04:21:15Z 2020 Journal Article Shi, D., Gan, W.-S., Lam, B., & Wen, S. (2020). Feedforward selective fixed-filter active noise control : algorithm and implementation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28, 1479-1492. doi:10.1109/TASLP.2020.2989582 2329-9290 https://hdl.handle.net/10356/142040 10.1109/TASLP.2020.2989582 28 1479 1492 en COT-V4-2019-1 IEEE/ACM Transaction on Audio, Speech, and Language Processing © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TASLP.2020.2989582 application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Active Noise Control Selective Fixed-filter Active Noise Control Shi, Dongyuan Gan, Woon-Seng Lam, Bhan Wen, Shulin Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title | Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title_full | Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title_fullStr | Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title_full_unstemmed | Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title_short | Feedforward selective fixed-filter active noise control : algorithm and implementation |
| title_sort | feedforward selective fixed filter active noise control algorithm and implementation |
| topic | Engineering::Electrical and electronic engineering Active Noise Control Selective Fixed-filter Active Noise Control |
| url | https://hdl.handle.net/10356/142040 |
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