activenoisecontrol in a non-linear spatial region is a challenging problem, especially for low-frequency noisecontrol applications. The investigation of the existing literature reveals that this problem is tackled ...
详细信息
activenoisecontrol in a non-linear spatial region is a challenging problem, especially for low-frequency noisecontrol applications. The investigation of the existing literature reveals that this problem is tackled by systems with multiple sensors and loudspeakers with a centralised processor. However, the use of centralised techniques is bulky, computationally expensive and lacks scalability. Therefore, the authors propose a distributed learning approach for noise cancellation using a diffusion collaborative strategy. The proposed Legendre-functional link network diffusion filtered s least mean square (FsLMS) algorithm is compared with the standard multi-channel FsLMS algorithm. For different non-linear scenarios, the performance of the proposed method is evaluated in terms of noise reduction performance and computational complexity. It is demonstrated that the proposed method offers significant improvement in noise mitigation performance and computational load as compared with its centralised multi-channel counterpart.
暂无评论