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A Higher-Order Spectra Based Method of On-line Secondary Path Model Identification for Active Noise Control Systems

机译:有源噪声控制系统中基于高阶谱的在线二次路径模型辨识方法

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The aim of this paper is to present a method of nonparametric and parametric secondary path model identification for adaptive active noise control systems with low-power non-Gaussian excitations of the form of a higher-order discrete-time multisine random process and data processing based on cross-higher-order spectra. Properties of the discussed method are illustrated by simulation experiments devoted to secondary path identification for feedforward and feedback active noise control systems. Its robustness to nonlinear distortions implied by data acquisition system and adaptation procedure is proved.
机译:本文的目的是提出一种基于高阶离散时间多正弦随机过程和数据处理的低功率非高斯激励的自适应有源噪声控制系统的非参数和参数二次路径模型辨识方法跨高阶光谱通过专门用于前馈和反馈有源噪声控制系统的次级路径识别的仿真实验,说明了所讨论方法的特性。证明了其对数据采集系统和自适应程序所隐含的非线性失真的鲁棒性。

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