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A novel temperature-aware ANC method achieves superior noise reduction by dynamically adapting to real-time changes in engine noise and lining temperature.
Accelerating convergence in distributed noise control systems is now possible without compromising stability, thanks to a novel adaptive momentum approach.
SF-GFANC achieves superior noise attenuation by leveraging 3D spatial cues, outperforming conventional methods in complex acoustic environments.
