Robust Diffusion Huber-Based Normalized Least Mean Square Algorithm with Adjustable Thresholds-Reference-Cited by-同舟云学术

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Robust Diffusion Huber-Based Normalized Least Mean Square Algorithm with Adjustable Thresholds

Published:2019-08-27 Issue:4 Volume:39 Page:2065-2093
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Yu Yi^ORCID,Zhao Haiquan,Wang Wenyuan,Lu Lu

Funder

National Natural Science Foundation of P.R. China

Doctoral Research Fund of Southwest University of Science and Technology in China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

http://link.springer.com/content/pdf/10.1007/s00034-019-01244-5.pdf

Reference59 articles.

1. R. Abdolee, V. Vakilian, B. Champagne, Tracking performance and optimal adaptation step-sizes of diffusion LMS networks. IEEE Trans. Control Netw. Syst. 5(1), 67–78 (2016)

2. A. Ahmed, S. Zhang, Y.D. Zhang, Multi-target motion parameter estimation exploiting collaborative UAV network, in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4459–4463 (2019)

3. D.C. Ahn, J.W. Lee, S.J. Shin, W.J. Song, A new robust variable weighting coefficients diffusion LMS algorithm. Signal Process. 131, 300–306 (2017)

4. T.Y. Al-Naffouri, A.H. Sayed, Transient analysis of adaptive filters with error nonlinearities. IEEE Trans. Signal Process. 51(3), 653–663 (2003)

5. S. Ashkezari-Toussi, H. Sadoghi-Yazdi, Robust diffusion LMS over adaptive networks. Signal Process. 158, 201–209 (2019)

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