A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk

A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk
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存在串扰的低失真噪声消除器及其学习算法

DOI：
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发表时间：
2001
期刊：
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
影响因子：
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通讯作者：
Masayuki Deguchi
Masayuki Deguchi
中科院分区：
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文献类型：
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作者：
A. Hirano;K. Nakayama;S. Arai;Masayuki Deguchi

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总结 本文提出了一种低失真噪声消除器及其学习算法，该算法对串扰具有鲁棒性，并且适用于连续声音。所提出的消除器由两个阶段组成：串扰消除和噪声消除。递归滤波器减少了噪声消除阶段的计算量。引入用于自适应和滤波的单独滤波器以消除串扰。计算机模拟显示误差功率提高了 10dB。
SUMMARY This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10dB improvement of the error power.