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[期刊论文]
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Variable step-size LMS algorithm using regulated least square error criterion
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作 者：
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Sin-Chun Ng;Chi-Chung Cheung;Chi-Yin Chung;Shu-Hung Leung;
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出版年：2003
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页 码：160 - 160
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出版社：Institution of Engineering and Technology (IET)
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摘 要：
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A new variable step-size algorithm is proposed using an evolutionary approach for the least mean square algorithm. The step-size candidates are evaluated by calculating their square errors, which are composed of a priori and a posteriori errors. The composition of the square error measure is regulated according to different properties of errors. The new algorithm always outperforms other traditional variable step-size methods to provide fast converging and good tracking capability.
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关键字：
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adaptive filters; filtering theory; least mean squares methods; tracking; a posteriori errors; a priori errors; adaptive filtering; converging; filter coefficients; filter theory; regulated least square error criterion; tracking capability; variable step-size LMS algorithm
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