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Adaptive filtering based on recursive minimum error entropy criterion
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DOI：10.1016/j.sigpro.2020.107836.png)
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Abstract
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In this paper, a robust adaptive algorithm, called recursive minimum error entropy, is derived under the minimum error entropy criterion. The new algorithm can perform robustly under impulsive noise. Theoretical analyses and numerical simulations revealed that the new algorithm performs better than the recursive least squares and recursive maximum correntropy algorithm. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Adaptive filtering
Mean square error (MSE)
Minimum error entropy (MEE)
Recursive least square (RLS)
Recursive minimum error entropy (RMEE)
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