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A class of modified variable step-size NLMS algorithms for system identification

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conference contribution
posted on 2024-07-09, 19:37 authored by Shengkui Zhao, Zhihong ManZhihong Man, Suiyang Khoo
This paper proposes a class of modified variable step-size normalized least mean square (VS NLMS) algorithms. The class of schemes are obtained from estimating the optimum step-size of NLMS that minimizes the mean square deviation (MSD). During the estimation, we consider the properties of the additive noise and the input excitation together. The developed class of VS NLMS algorithms have simple forms and give improved tradeoff of fast convergence rate and low misadjustment in system identification.

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ISBN

9781424428007

Conference name

2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Pagination

4 pp

Publisher

IEEE

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Copyright © 2009 IEEE. The published version is reproduced in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

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eng

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