Shuiping Zhang1,2, Xi Liang3, Lin Shi2, Lei Yan4, Jun Tang1,2,*
Sound & Vibration, Vol.57, pp. 29-44, 2023, DOI:10.32604/sv.2023.041350
Abstract The filter-x least mean square (FxLMS) algorithm is widely used in active noise control (ANC) systems. However, because the algorithm is a feedback control algorithm based on the minimization of the error signal variance to update the filter coefficients, it has a certain delay, usually has a slow convergence speed, and the system response time is long and easily affected by the learning rate leading to the lack of system stability, which often fails to achieve the desired control effect in practice. In this paper, we propose an active control algorithm with nearest-neighbor trap structure and neural network feedback mechanism… More >
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