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Circuits, Systems, and Signal Processing

17.04.2024 | Short Paper

Adaptive Filtering Based on Minimum Error Entropy Conjugate Gradient

verfasst von: Guoliang Li, Qi Sun, Ying Zhang, Gang Wang, Xinyue Yang, Linqiang Ouyang

Erschienen in: Circuits, Systems, and Signal Processing

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Abstract

Based on the criterion of minimum error entropy, this paper proposes a novel conjugate gradient algorithm, called MEE-CG. This algorithm has robust performance under non-Gaussian interference. Theoretical analysis and experimental results demonstrate that the proposed algorithm displays more robust performance than the conventional conjugate gradient methods on the basis of the mean square error and the maximum correntropy criterion. Compared with the stochastic gradient minimum error entropy algorithm and the recursive minimum error entropy algorithm, the proposed algorithm provides a trade-off between computational complexity and convergence speed.

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Metadaten
Titel
Adaptive Filtering Based on Minimum Error Entropy Conjugate Gradient
verfasst von
Guoliang Li
Qi Sun
Ying Zhang
Gang Wang
Xinyue Yang
Linqiang Ouyang
Publikationsdatum
17.04.2024
Verlag
Springer US
Erschienen in
Circuits, Systems, and Signal Processing
Print ISSN: 0278-081X
Elektronische ISSN: 1531-5878
DOI
https://doi.org/10.1007/s00034-024-02654-w

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