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arXiv · 2202.00560

Study of filtered-x logarithmic recursive least $p$-power algorithm

Z. Zheng·L. Lu·Y. Yu·R. C. de Lamare·Z. Liu
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Abstract

For active impulsive noise control, a filtered-x recursive least $p$-power (FxRLP) algorithm is proposed by minimizing the weighted summation of the $p$-power of the \emph{a posteriori} errors. Since the characteristic of the target noise is investigated, the FxRLP algorithm achieves good performance and robustness. To obtain a better performance, we develop a filtered-x logarithmic recursive least $p$-power (FxlogRLP) algorithm which integrates the $p$-order moment with the logarithmic-order moment. Simulation results demonstrate that the FxlogRLP algorithm is superior to the existing algorithms in terms of convergence rate and noise reduction.

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Z. Zheng, L. Lu, Y. Yu, R. C. de Lamare, Z. Liu. 2022-01-20. Study of filtered-x logarithmic recursive least $p$-power algorithm. https://arxiv.org/abs/2202.00560

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