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Arc-tangent Transformation Algorithm for Active Impulsive Noise Control
SHAO Jun;ZHOU Ya-li;ZHANG Qi-zhi
2012, 32 (2):
27-31.
DOI: 103969/j.issn.1006-1355-2012.02.006
In recent years, some effective algorithms for active impulsive noise control have been proposed. But these algorithms may not be stable due to the high-and-sharp peaks of the impulsive noise. To overcome the shortage of these algorithms, a new algorithm based on minimizing the squared arc-tangent transformation of the error signal was proposed. This algorithm doesn’t need to consider thresholds estimation and parameters selection based on priori knowledge of impulsive noise. Moreover, the algorithm is simple in structure, and easy to be realized. The simulation results show that the proposed algorithm can effectively eliminate the impulsive noise, and compared with the other algorithms, the performance of the proposed algorithm has a better convergence and stability.
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