webComparison of Frequency-domain block FxLMS and FxNLMS. Abstract: An active noise control (ANC) is commonly applied to filtered-x least mean square (FxLMS) algorithm. But control stability can be fallen by characteristics of primary sources.
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A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control …
webApr 21, 2022 · A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control Based on Deep Learning. Abstract: The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can achieve a fast response time.
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[2208.08082] A Hybrid SFANC-FxNLMS Algorithm for Active …
webAug 17, 2022 · A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning. Zhengding Luo, Dongyuan Shi, Woon-Seng Gan. The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can achieve a fast response time.
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Papers with Code - A Hybrid SFANC-FxNLMS Algorithm for Active …
webAug 17, 2022 · A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning. The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can achieve a fast response time.
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Comparison of Frequency-domain block FxLMS and FxNLMS
webAn active noise control (ANC) is commonly applied to filtered-x least mean square (FxLMS) algorithm. But control stability can be fallen by characteristics of primary sources. So, this paper is description of control stability research using FxLMS and filtered-x normalized least mean square (FxNLMS) algorithm.
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(PDF) A Hybrid SFANC-FxNLMS Algorithm for Active Noise
webAug 17, 2022 · Nanyang Technological University Singapore. Abstract. The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained control filters for various types of noise can...
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(PDF) Hybrid FxRLS-FxNLMS adaptive algorithm for active …
webApr 1, 2011 · A hybrid adaptive algorithm is developed for an active noise control system that leverages the stability of the filtered-input normalized least mean squares (FxNLMS) adaptive algorithm, with the...
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A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control …
webX normalized least-mean-square (FxNLMS) algorithm can ob-tain lower steady-state errors through adaptive optimization. Nonetheless, its slow convergence has a detrimental effect on dy-namic noise attenuation. Therefore, this paper proposes a hybrid SFANC-FxNLMS approach to overcome the adaptive algorithm’s
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Adaptive Combination of Filtered-X NLMS and Affine Projection
webDec 17, 2022 · The filtered-x least mean square (FxLMS) algorithm is widely used in the field of ANC because of its low computational complexity [ 2 ]. However, FxLMS performs poorly in terms of convergence speed and noise reduction performance.
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Hybrid FxRLS-FxNLMS Adaptive Algorithm for Active Noise Control …
webMar 11, 2010 · Abstract: A hybrid adaptive algorithm is developed for an active noise control system that leverages the stability of the filtered-input normalized least mean squares (FxNLMS) adaptive algorithm, with the high convergence speed of the filtered-input recursive least squares (FxRLS) adaptive algorithm.