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Circuits, Systems, and Signal Processing
Published in:

27-12-2023

On the NP-VSS-NLMS Algorithm: Model, Design Guidelines, and Numerical Results

Authors: Augusto Cesar Becker, Eduardo Vinicius Kuhn, Marcos Vinicius Matsuo, Jacob Benesty

Published in: Circuits, Systems, and Signal Processing | Issue 4/2024

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Abstract

In this paper, a stochastic model is presented for the nonparametric variable step-size normalized least-mean-square (NP-VSS-NLMS) algorithm. This algorithm has demonstrated potential in practical applications and hence a deeper understanding of its behavior becomes crucial. In this context, model expressions are obtained for characterizing the algorithm behavior in the transient phase as well as in the steady state, considering a system identification problem and Gaussian input data. Such expressions reveal interesting algorithm characteristics that are useful for establishing design guidelines and for the advancement of more refined algorithms. Simulation results for various operating scenarios ratified both the model’s accuracy and the algorithm’s superior performance relative to other recent and relevant algorithms from the literature.
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Metadata
Title
On the NP-VSS-NLMS Algorithm: Model, Design Guidelines, and Numerical Results
Authors
Augusto Cesar Becker
Eduardo Vinicius Kuhn
Marcos Vinicius Matsuo
Jacob Benesty
Publication date
27-12-2023
Publisher
Springer US
Published in
Circuits, Systems, and Signal Processing / Issue 4/2024
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-023-02565-2

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