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Abstract
This paper presents a neural-based filtered-X least-mean-square algorithm (NFXLMS) active noise control (ANC) system. The saturation of the power amplifier in ANC system is considered. A method for compensating the saturation is proposed. On line dynamic learning algorithms based on the error gradient descent method is carried out. The convergence of the algorithm is proven using a discrete Lyapunov function. Simulation results are provided for illustration.
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Article Details
Issue: Vol 12 No 12 (2009)
Page No.: 86-93
Published: Jun 28, 2009
Section: Article
DOI: https://doi.org/10.32508/stdj.v12i12.2323
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Huynh, T., Nguyen, P., & Nguyen, L. (2009). ADAPTIVE NEURAL NETWORK FOR FEEDBACK ACTIVE NOISE CONTROL SYSTEM. Science and Technology Development Journal, 12(12), 86-93. https://doi.org/https://doi.org/10.32508/stdj.v12i12.2323
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