Bias-compensated Sparse RLS Algorithms Over Distributed Networks-Reference-Cited by-同舟云学术

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Bias-compensated Sparse RLS Algorithms Over Distributed Networks

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
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Author:

Peng Senran¹,Jia Lijuan¹,Kanae Shunshoku²,Yang Zi-jiang³

Affiliation:

1. Beijing Institute of Technology,School of Information and Electronics,Beijing,P.R.,China,100081

2. Junshin Gakuen University,,Department of Medical Engineering,Faculty of Health Sciences,Fukuoka,Japan,815–8510

3. College of Engineering Ibaraki University,Department of Mechanical Systems Engineering,Ibaraki,Japan,316–8511

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901566.pdf?arnumber=9901566

Reference19 articles.

1. RLS-weighted Lasso for adaptive estimation of sparse signals

2. RLS adaptive filtering with sparsity regularization;ek?io?lu;10th International Conference on Information Science Signal Processing and Their Applications,0

3. Bias-Compensated LMS Estimation for Adaptive Noisy FIR Filtering;xu;Proceedings of 54th Annual Conference of the Society of Instrument and Control En-gineers of Japan,2015

4. Bias‐compensated normalised LMS algorithm with noisy input

5. Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks

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