Constraint-Forcing Recursive Generalized Maximum Correntropy Algorithm with Forgetting Factor for Adaptive Filtering-Reference-Cited by-同舟云学术

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Constraint-Forcing Recursive Generalized Maximum Correntropy Algorithm with Forgetting Factor for Adaptive Filtering

Published:2023-12-17 Issue: Volume: Page:2740-2741
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
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Author:

Li Wenyue¹,Zhao Ji¹,Li Qiang¹,Tang Lingli²,Zhang Hongbin³

Affiliation:

1. Southwest University of Science and Technology,School of Information Engineering,Mianyang,PR China,621010

2. Southwest University of Science and Technology,Department of Social Sciences,Mianyang,PR China,621010

3. University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,PR China,611731

Funder

National Natural Science Foundation of China

Southwest University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10475988.pdf?arnumber=10475988

Reference7 articles.

1. Constrained maximum correntropy adaptive filtering

2. Robust Constrained Adaptive Filtering Under Minimum Error Entropy Criterion

3. Diffusion Quantized Recursive Mixture Minimum Error Entropy Algorithm

4. Robust constrained recursive least M-estimate adaptive filtering algorithm

5. Recursive constrained generalized maximum correntropy algorithms for adaptive filtering

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