Variable step - size LMS algorithm can improve the performance of PIC.

变步长LMS算法 可显著提高自适应并行干扰抵消器的性能.

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Frequency Domain Normalized LMS algorithm full source code, has been tested.

频域归一化LMS算法的全部源代码, 已经过测试.

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For high correlation signal, its performance is superior to those of NLMS algorithm and DCR - LMS algorithm.

对于强相关性信号, 新算法的稳态失调小于NLMS算法和DCR-LMS算法.

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Based on analysing of LMS algorithm, a filtering improved algorithm is suggested in this paper.

基于对LMS算法的分析, 本文提出一种滤波改进算法.

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Firstly, this paper designs a LMS algorithm adaptive filter to solve period noise disturbing.

首先,在抑制噪声干扰方面, 本文设计了一种最小均方(LMS)算法的自适应滤波器,来消除局部放电检测中广泛存在的周期性干扰信号.

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In addition, we use the modified leaky LMS algorithm for noise cancelling in this paper.

另外本文将改进的泄漏最小均方算法用于噪声消除.

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This paper introduces a modified LMS algorithm and its application in adaptive noise cancellation.

介绍了一种改进的LMS自 适应滤波算法及其在自适应噪声对消中的应用.

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