Abstract
A new variable step-size(VSS) LMS adaptive algorithm based on the convergence ratio of MSE and the correlation between reference signal and output error is proposed in the paper. Theory analyzing and simulation results prove that the new algorithm improves the convergent speed of general LMS algorithm and optimizes the trace ability of time-varying system and stable state maladjustment; and comparing to the standard LMS algorithm, the increase of computation is finite. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Wan, H., Li, G., Wang, X., & Jing, C. (2008). A new variable-step lms algorithm based on the convergence ratio of mean-square Error(MSE). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5226 LNCS, pp. 1118–1123). https://doi.org/10.1007/978-3-540-87442-3_138
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