主动噪声控制
算法
计算机科学
趋同(经济学)
噪音(视频)
计算复杂性理论
高斯-赛德尔法
理论(学习稳定性)
投影(关系代数)
仿射变换
数学
迭代法
人工智能
降噪
机器学习
纯数学
经济
图像(数学)
经济增长
作者
Martin Bouchard,Felix Albu
摘要
Abstract In the field of adaptive filtering, the fast implementations of affine projection algorithms are known to provide a good tradeoff between convergence speed and computational complexity. Such algorithms have recently been published for multichannel active noise control systems. Previous work reported that these algorithms can outperform more complex recursive least‐squares algorithms when noisy plant models are used in active noise control systems. This paper proposes a new fast affine projection algorithm for multichannel active noise control or sound reproduction systems, based on the Gauss–Seidel solving scheme. The proposed algorithm has a lower complexity than the previously published algorithms, with the same convergence speed and the same good performance with noisy plant models, and a potential for better numerical stability. It provides the best performance/cost ratio. Details of the algorithm and its complexity are presented in the paper, with simulation results to validate its performance. Copyright © 2004 John Wiley & Sons, Ltd.
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