A Variable Step Size Adaptive Algorithm With Simple Parameter Selection

We propose a normalized least mean squares algorithm with variable step size. Unlike other solutions, it has low computational cost, only three parameters that are simple to choose, and its steady-state performance can be easily predicted. Simulations show a competitive performance in comparison wit...

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Veröffentlicht in:	IEEE signal processing letters Jg. 29; S. 1774 - 1778
Hauptverfasser:	Tiglea, Daniel G., Candido, Renato, Silva, Magno T. M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptive algorithms Adaptive filtering Adaptive filters Convergence Filtering algorithms Least mean squares Least mean squares algorithm normalized least mean squares Parameters Prediction algorithms Signal processing algorithms Steady-state steady-state analysis Transient analysis variable step size
ISSN:	1070-9908, 1558-2361
Online-Zugang:	Volltext
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