A multi-channel active noise control system using deep learning-based method to estimate secondary path and normalized-clustered control strategy for vehicle interior engine noise

•A normalized clustered control strategy is adopted to a new normalize the step size of the two-channel FxLMS algorithm for each local controller, which balances the system convergence rate and the steady state error, thus improving the noise reduction performance of the system, especially the track...

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Vydané v:	Applied acoustics Ročník 228; s. 110263
Hlavní autori:	Cheng, Can, Liu, Zhien, Chen, Wan, Li, Xiaolong, Liao, Wu, Lu, Chihua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.01.2025
Predmet:	Active noise control Deep learning Normalized-clustered control strategy Secondary path estimation Vehicle interior engine noise Deep learning Secondary path estimation Active noise control Vehicle interior engine noise Normalized-clustered control strategy
ISSN:	0003-682X
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