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- W2046690226 abstract "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." @default.
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- W2046690226 date "2003-01-01" @default.
- W2046690226 modified "2023-10-16" @default.
- W2046690226 title "Variable step-size LMS algorithm using regulated least square error criterion" @default.
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- W2046690226 doi "https://doi.org/10.1049/el:20030113" @default.
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