Fractional lower order moment (FLOM)-based adaptive algorithm with data-reusing for active noise control of impulsive sources

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Abstract

This paper deals with active noise control (ANC) for impulsive noise sources being modeled using non-Gaussian stable process. The filtered-x-LMS (FxLMS) algorithm is based on minimization of the variance of the error signal, and becomes unstable for impulsive noise. The filtered-x least mean p-power (FxLMP) algorithm - based on minimizing the fractional lower order moment (FLOM) - gives robust performance for impulsive ANC; however, its convergence speed is very slow. This paper proposes modifying and employing a generalized normalized LMP (GNLMP) algorithm for impulsive ANC. The proposed approach is based on data-reusing (DR) type adaptive algorithm. The main idea is to improve the stability by efficiently normalizing the step-size, and improve the convergence speed by reusing the recent data. Extensive simulations are carried out, which demonstrate the effectiveness of the proposed algorithm in comparison with the existing algorithms. © 2013 IEEE.

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APA

Akhtar, M. T. (2013). Fractional lower order moment (FLOM)-based adaptive algorithm with data-reusing for active noise control of impulsive sources. In Proceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013 (pp. 31–37). https://doi.org/10.1109/SITIS.2013.17

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