Analysis of DCTLMS algorithm with a selective coefficient updating

S. Attallah; S. W. Liaw

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Analysis of DCTLMS algorithm with a selective coefficient updating

机译：基于选择性系数更新的DCTLMS算法分析

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Recently, a fast version of LMS algorithm where only a small subset of the coefficients is updated at each iteration has been published in the literature. In this brief, we analyze the effects of this technique on the discrete cosine transform domain LMS (DCTLMS) algorithm, and highlight its advantages and drawbacks. It will be shown, in particular, that a reduction in the computational complexity can be achieved without causing any degradation to the steady state error of the algorithm. The analytical results are then confirmed by simulations where real speech and first-order Markov signals are used.

机译：最近，文献中发表了LMS算法的快速版本，其中每次迭代时仅更新一小部分系数。在本简报中，我们分析了该技术对离散余弦变换域LMS（DCTLMS）算法的影响，并强调了其优缺点。本文将特别说明，计算复杂度的降低可以不导致算法的稳态误差降低。然后通过使用真实语音和一阶马尔可夫信号的仿真来确认分析结果。

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来源
《IEEE Transactions on Automatic Control》 |2001年第6期|628-632|共5页
作者
S. Attallah; S. W. Liaw;
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正文语种英语
中图分类自动化系统;
关键词
Computational complexity; DCT transform-domain LMS; Partial update;

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Analysis of DCTLMS algorithm with a selective coefficient updating

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