Preprint
Jul 2026
Model-Agnostic Meta-Learning Initialization for Distributed Multichannel Active Noise Control
A model-agnostic meta-learning (MAML) based initialization strategy for DMCANC that achieves substantially faster convergence and improved noise reduction performance compared with conventional DMCANC, highlighting the potential of MAML initialization as an effective method for large-scale ANC.
Xiaoyi Shen, Junwei Ji, Woon-seng Gan et al.
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