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A neural reference projection-based method for multi-reference active noise control (L)
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DOI：10.1121/10.0043891.png)
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Abstract
En 中文
In this Letter, a neural reference projection-based method is proposed for compressing multichannel reference signals in feedforward active noise control (ANC). The method is integrated with the filtered-x affine projection algorithm to form a neural reference projection-based filtered-x affine projection algorithm, thereby improving convergence speed and noise reduction performance. Using a real-vehicle road noise dataset, simulation results demonstrate that, in multi-reference ANC, faster convergence and higher broadband noise attenuation are achieved compared with conventional approaches.
Keywords:
FEEDFORWARD
ALGORITHMS
AFFINE
ANC
Journal
J
IF:
2.3
Papers:
585
Citations:
5.1W