All-pass filtered x least mean square algorithm for narrowband active noise control
Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modell...
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iium-662252018-09-12T02:31:58Z http://irep.iium.edu.my/66225/ All-pass filtered x least mean square algorithm for narrowband active noise control Mondal (Das), Kuheli Das, Saurav Abu, Aminudin Hamada, Nozomu Toh, Hoong Thiam Das, Saikat Faris, Waleed Fekry TJ1350 Hoisting and conveying machinery Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. The modelling requirement of the secondary path increases the complexity of the system implementation and decreases the control system performance. Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. In this regard, the aim of this paper is concerned about a narrowband feedforward ANC system in systems like air intake duct system and its novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path. Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. The performance evaluation in terms of convergence speed of the proposed algorithm is validated with standard ANC without secondary path modelling. The results also show that the proposed method outperforms other LMS algorithm without secondary path modelling. The proposed narrowband LMS algorithm would benefit in the design of efficient feedforward ANC system that can realize noise control in air intake duct applications. Elsevier Ltd 2018-12-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/66225/2/66225_All-pass%20filtered%20x%20least%20mean%20square_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/66225/13/66225_All-pass%20filtered%20x%20least%20mean%20square.pdf Mondal (Das), Kuheli and Das, Saurav and Abu, Aminudin and Hamada, Nozomu and Toh, Hoong Thiam and Das, Saikat and Faris, Waleed Fekry (2018) All-pass filtered x least mean square algorithm for narrowband active noise control. Applied Acoustics, 142. pp. 1-10. ISSN 0003-682X https://www.sciencedirect.com/science/article/pii/S0003682X17304681 10.1016/j.apacoust.2018.07.026 |
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TJ1350 Hoisting and conveying machinery |
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TJ1350 Hoisting and conveying machinery Mondal (Das), Kuheli Das, Saurav Abu, Aminudin Hamada, Nozomu Toh, Hoong Thiam Das, Saikat Faris, Waleed Fekry All-pass filtered x least mean square algorithm for narrowband active noise control |
description |
Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or disturbances by generating controllable secondary sources by which the output noise can be cancelled with the same amplitude but with opposite sign/sense. Most available ANC uses the secondary path modelling including filtered x least mean square (FxLMS) algorithm. The modelling requirement of the secondary path increases the complexity of the system implementation and decreases the control system performance. Recently several new ANC algorithms have been developed; in which there is no requirement for the modelling of the secondary path transfer function. In this regard, the aim of this paper is concerned about a narrowband feedforward ANC system in systems like air intake duct system and its novelty is to introduce all-pass filtered x LMS (APFxLMS) algorithm which do not require an estimation of the secondary path. Here first-order all pass filters with single parameter is used to improve the convergence of the LMS algorithm. The performance evaluation in terms of convergence speed of the proposed algorithm is validated with standard ANC without secondary path modelling. The results also show that the proposed method outperforms other LMS algorithm without secondary path modelling. The proposed narrowband LMS algorithm would benefit in the design of efficient feedforward ANC system that can realize noise control in air intake duct applications. |
format |
Article |
author |
Mondal (Das), Kuheli Das, Saurav Abu, Aminudin Hamada, Nozomu Toh, Hoong Thiam Das, Saikat Faris, Waleed Fekry |
author_facet |
Mondal (Das), Kuheli Das, Saurav Abu, Aminudin Hamada, Nozomu Toh, Hoong Thiam Das, Saikat Faris, Waleed Fekry |
author_sort |
Mondal (Das), Kuheli |
title |
All-pass filtered x least mean square algorithm for narrowband active noise control |
title_short |
All-pass filtered x least mean square algorithm for narrowband active noise control |
title_full |
All-pass filtered x least mean square algorithm for narrowband active noise control |
title_fullStr |
All-pass filtered x least mean square algorithm for narrowband active noise control |
title_full_unstemmed |
All-pass filtered x least mean square algorithm for narrowband active noise control |
title_sort |
all-pass filtered x least mean square algorithm for narrowband active noise control |
publisher |
Elsevier Ltd |
publishDate |
2018 |
url |
http://irep.iium.edu.my/66225/ http://irep.iium.edu.my/66225/ http://irep.iium.edu.my/66225/ http://irep.iium.edu.my/66225/2/66225_All-pass%20filtered%20x%20least%20mean%20square_SCOPUS.pdf http://irep.iium.edu.my/66225/13/66225_All-pass%20filtered%20x%20least%20mean%20square.pdf |
first_indexed |
2023-09-18T21:33:59Z |
last_indexed |
2023-09-18T21:33:59Z |
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1777412698092339200 |