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Convergence Analysis of Linear and Nonlinear Filtered-X LMS Algorithms for Active Control of Multitonal Noise

机译:线性和非线性滤波器-X LMS算法的收敛性分析,用于多元噪声的主动控制

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In the presence of tonal noise generated by periodic noise source like rotating machines, the filtered-X LMS algorithm is used for active control of such noises. However, the algorithm is derived under the assumption of slow adaptation limit and the exact analysis of the algorithm is restricted to the case of one real sinusoid in the literature. In this paper for the general case of arbitrary number of sources, the characteristic polynomial of the equivalent linear system describing the filtered-X LMS algorithm is derived and a method for calculating the stability limit is presented. Also, a new nonlinear algorithm free from the above assumption is proposed. Simulation results show that in the early stage of adaptation the nonlinear algorithm gives faster decay of errors.
机译:在由周期性噪声源产生的色调噪声存在下,滤波器-X LMS算法用于这种噪声的主动控制。 然而,该算法是在慢速适应极限的假设下导出的,并且算法的精确分析仅限于文献中的一个真实正弦曲线的情况。 在本文中,对于任意数量的源的一般情况,推导了描述过滤器-X LMS算法的等效线性系统的特征多项式,并提出了一种计算稳定极限的方法。 此外,提出了一种自由的新的非线性算法。 仿真结果表明,在适应的早期阶段,非线性算法提供了更快的错误衰减。

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