Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering

Maximum Total Improper Complex Correntropy Algorithm for Widely Linear Adaptive Filtering

The maximum total complex correntropy (MTCC) algorithm improves the performance of adaptive filtering under the error in variable (EIV) model by integrating both input and output noise information into the total complex correntropy. However, the MTCC algorithm cannot be applied to the widely linear...

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Bibliographic Details
Main Authors: Lianqing Fu, Li Zhou
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Adaptive filter
convergence
stability
total complex correntropy
widely linear model
Online Access:https://ieeexplore.ieee.org/document/9945970/

Internet

https://ieeexplore.ieee.org/document/9945970/

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