Noise-Free Maximum Correntropy Criterion Algorithm in Non-Gaussian Environment

In this brief, a noise-free maximum correntropy criterion (NFMCC) algorithm is proposed for system identification in non-Gaussian environments. The proposed algorithm utilizes correntropy theory to construct a cost function which is realized based on a normalized Gaussian kernel. In addition, a new...

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Veröffentlicht in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2020-10, Vol.67 (10), p.2224-2228
Hauptverfasser:	Shi, Wanlu, Li, Yingsong, Wang, Yanyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Algorithms Circuits and systems Computational complexity Computer simulation Cost function Criteria Error signals Heuristic algorithms Kernel maximum correntropy criterion Noise Noise reduction noise-free algorithm Outliers (statistics) Signal processing algorithms Students’ T distribution System identification
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