一种新的归一化有符号回归LMS算法

[Proceedings] Singapore ICCS/ISITA `92 Pub Date : 1992-11-16 DOI:10.1109/ICCS.1992.255075

K. Takahashi, S. Mori

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引用次数: 4

摘要

归一化符号回归算法是基于输入样本的裁剪的NLMS算法，输入样本是输入数据向量的元素。在新算法中，当样本的绝对值大于输入样本绝对值的平均值时，使用剪切样本来更新系数。分析表明，该算法比传统的归一化符号回归算法具有更好的收敛特性。

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A new normalized signed regressor LMS algorithm

The normalized signed regressor algorithm is the NLMS algorithm based on clipping of the input samples which are elements of the input data vector. In the new algorithm, a clipped sample is used to update coefficients when the absolute value of the sample is larger than the average of the absolute values of the input samples. Analysis shows that the proposed algorithm has better convergence characteristics than the conventional normalized signed regressor algorithm.<>

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[Proceedings] Singapore ICCS/ISITA `92

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