Multichannel active noise control algorithms using inverse filters

M. Bouchard, F. Yu


An inverse structure, for the use of adaptive filters in active noise control (ANC) systems, is described. Multichannel adaptive filter learning algorithms, based on the filtered least mean square (LMS) algorithm was introduced for the inverse structure. It is shown with simulations, that the some versions of the introduced algorithms can achieve both a reduction of the computational load and an increase of the convergence speed, compared to the standard algorithms for ANC.


Adaptive filtering; Algorithms; Control systems; Convergence of numerical methods; Feedback; Mathematical models; Wave filters; Active noise control (ANC) systems

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