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An Adaptive Algorithm, Based on Modified Tanh Non-linearity and Fractional Processing, for Impulsive Active Noise Control Systems

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dc.contributor.author Akhtar, Muhammad T.
dc.date.accessioned 2020-06-26T11:03:42Z
dc.date.available 2020-06-26T11:03:42Z
dc.date.issued 2017-08
dc.identifier.citation Akhtar, M. T. (2017). An adaptive algorithm, based on modified tanh non-linearity and fractional processing, for impulsive active noise control systems. Journal of Low Frequency Noise, Vibration and Active Control, 37(3), 495–508. https://doi.org/10.1177/1461348417725952 en_US
dc.identifier.issn 0263-0923
dc.identifier.uri https://doi.org/10.1177/1461348417725952
dc.identifier.uri https://journals.sagepub.com/doi/10.1177/1461348417725952
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4812
dc.description.abstract This paper presents an adaptive algorithm for active control of noise sources that are of impulsive nature. The impulsive type sources can be better modeled as a stable distribution than the Gaussian. However, for stable distributions, the variance (second order moment) is infinite. The standard adaptive filtering algorithms, which are based on minimizing variance and assuming Gaussian distribution, converge slowly or become even unstable for stable (impulsive) processes. In order to improve the performance of the standard filtered-x least mean square (FxLMS)-based impulsive active noise control (IANC) systems, we propose two enhancements in this paper. First, we propose employing modified tanh function-based nonlinear process in the reference and error paths of the standard FxLMS algorithm. The main idea is to automatically give an appropriate weight to the various samples in the process, i.e. appropriately threshold the very large values so that system remains stable, and give more weight to samples below threshold limit so that the convergence speed can be improved. A second proposal is to incorporate the fractional-gradient computation in the update vector of IANC adaptive filter. Computer simulations have been carried out using experimental data for the acoustic paths. The simulation results demonstrate that the proposed algorithm is very effective for IANC systems. en_US
dc.language.iso en en_US
dc.publisher SAGE Publications en_US
dc.relation.ispartofseries Journal of Low Frequency Noise, Vibration and Active Control;
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Research Subject Categories::TECHNOLOGY en_US
dc.subject Impulsive noise control en_US
dc.subject stable distributions en_US
dc.subject FxLMS algorithm en_US
dc.subject fractional signal processing en_US
dc.title An Adaptive Algorithm, Based on Modified Tanh Non-linearity and Fractional Processing, for Impulsive Active Noise Control Systems en_US
dc.type Article en_US
workflow.import.source science

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