Distributed diffusion bias-compensated LMS for node-specific networks-Reference-Cited by-同舟云学术

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Distributed diffusion bias-compensated LMS for node-specific networks

Published:2019-07 Issue: Volume:160 Page:21-31
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Jia Lijuan^ORCID,Zheng Chenxue,Katerega Albert^ORCID,Yang Zi-Jiang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference35 articles.

1. Adaptation, learning, and optimization over networks;Sayed,2014

2. Distributed incremental bias-compensated RLS estimation over multi-agent networks;Lou;SCIENCE CHINA Inf. Sci.,2017

3. Diffusion LMS strategies for distributed estimation;Cattivelli;IEEE Trans. Signal Process.,2010

4. Incremental adaptive strategies over distributed networks;Lopes;IEEE Trans. Signal Process.,2007

5. Distributed consensus algorithms in sensor networks with imperfect communication: link failures and channel noise;Kar;IEEE Trans. Signal Process.,2009

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1. Communication-Efficient Secure Distributed Estimation With Noisy Measurement Against FDI Attack;IEEE Signal Processing Letters;2024

2. A Novel Bias-Compensated Linear Constrained Least Mean Squares Algorithm Over Distributed Network;2023 42nd Chinese Control Conference (CCC);2023-07-24

3. Bias-compensated augmented complex-valued NSAF algorithm and its low-complexity implementation;Signal Processing;2023-03

4. Diffusion bias-compensated recursive maximum correntropy criterion algorithm with noisy input;Digital Signal Processing;2022-04

5. Spatial-Temporal Minimum Error Random Interaction Networks for Distributed Estimation;IEEE Signal Processing Letters;2022

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