A Distributed Adaptive Algorithm Based on the Asymmetric Cost of Error Functions-Reference-Cited by-同舟云学术

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A Distributed Adaptive Algorithm Based on the Asymmetric Cost of Error Functions

Published:2023-05-04 Issue:10 Volume:42 Page:5811-5837
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Guan Sihai,Zhao Yong,Wang Liwei,Cheng Qing,Biswal Bharat

Funder

the Central Universities Foundation, Southwest Minzu University

the introduction of talent, Southwest MinZu University, funding research projects start

the Natural Science Foundation of Henan Polytechnic University

the Natural Science Foundation of Sichuan Province

the National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02356-9.pdf

Reference39 articles.

1. S. Ashkezari-Toussi, H. Sadoghi-Yazdi, Robust diffusion LMS over adaptive networks. Signal Process. 158, 201–209 (2019). https://doi.org/10.1016/j.sigpro.2019.01.004

2. F. Barani, A. Savadi, H.S. Yazdi, Convergence behavior of diffusion stochastic gradient descent algorithm. Signal Process. (2021). https://doi.org/10.1016/j.sigpro.2021.108014

3. F.S. Cattivelli, C.G. Lopes, A.H. Sayed, Diffusion recursive least-squares for distributed estimation over adaptive networks. IEEE Trans. Signal Process. 56(5), 1865–1877 (2008)

4. F.S. Cattivelli, A.H. Sayed, Diffusion LMS strategies for distributed estimation. IEEE Trans. Signal Process. 58(3), 1035–1048 (2010). https://doi.org/10.1109/tsp.2009.2033729

5. F. Chen, T. Shi, S. Duan, L. Wang, J. Wu, Diffusion least logarithmic absolute difference algorithm for distributed estimation. Signal Process. 142, 423–430 (2018). https://doi.org/10.1016/j.sigpro.2017.07.014

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