An M-Estimator based algorithm for active impulse-like noise control

M-Estimator is a popular technique in robust statistics which targets to reduce the effect of outliers. Several existing algorithms for active impulse-like noise control are reformulated as one species based on M-Estimator respectively. A new M-Estimator based algorithm named Fair algorithm is proposed in the context of active impulse-like noise control. Simulations are performed to verify the effectiveness of the Fair algorithm and it is shown that the proposed algorithm compares favorably with the competitor algorithm in terms of noise control performance, while its computation complexity is relative lower.