A Variable Step Size Adaptive Algorithm with Simple Parameter Selection

Daniel G. Tiglea,Renato Candido,Magno T. M. Silva

IEEE signal processing letters（2022）CCF CSCI 2区SCI 3区

Univ Sao Paulo

被引用10|浏览15

摘要

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 with other solutions, and validate our theoretical analysis.

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关键词

Steady-state,Signal processing algorithms,Convergence,Adaptive filters,Filtering algorithms,Prediction algorithms,Transient analysis,Adaptive filtering,normalized least mean squares,steady-state analysis,variable step size

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