有源脉冲噪声控制的反正切变换算法

近年来，针对有源脉冲噪声控制，提出一些较为有效的算法。由于脉冲噪声的高尖峰特性，给算法带来了不稳定。为克服这些算法的不足，提出一种基于反正切变换的滤波x最小均方差算法。该算法不需要根据脉冲噪声的先验知识估测阈值和选择参数，并且算法结构简单、易于实现。仿真结果表明该算法能有效地消除脉冲噪声，与其他几种算法相比表现了更好的收敛性和稳定性。

Arc-tangent Transformation Algorithm for Active Impulsive Noise Control

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.