Data-Reuse Extended NLMS Algorithm Based on Optimized Time-Varying Step-Size for System Identification

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Ieice-Inst Electronics Information Communication Engineers

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info:eu-repo/semantics/openAccess

Abstract

A new extended normalized least-mean-square (ENLMS) algorithm is proposed. A novel non-linear time-varying step-size (NLTVSS) formula is derived. The convergence rate of ENLMS increases due to NLTVSS as the number of data-reuse L is increased. ENLMS does not involve matrix inversion, and, thus, avoids numerical instability issues.

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Keywords

adaptive filter, NLMS, step-size, convergence rate, data-reuse

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Ieice Transactions on Fundamentals of Electronics Communications and Computer Sciences

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Volume

E107A

Issue

8

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