Transient Analysis of Diffusion Recursive Least Squares via Signed Error Algorithm for Cyclostationary Colored Inputs

Wei Gao, Yi Xu, Jie Chen, Cedric Richard

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

In this paper, we perform the transient theoretical analysis of diffusion recursive least squares via signed error (DRLS-SE) algorithm over networks in the presence of impulsive noise. The obtained analytical models allow us to investigate the impacts of nonstationary system and cyclostationary colored inputs on the network transient convergence behavior. Simulations are provided to highlight the robustness of DRLS-SE algorithm against impulsive noise, and corroborate the correctness and accuracy of obtained theoretical findings.

源语言英语
主期刊名2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing, MLSP 2022
出版商IEEE Computer Society
ISBN(电子版)9781665485470
DOI
出版状态已出版 - 2022
活动32nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2022 - Xi'an, 中国
期限: 22 8月 202225 8月 2022

出版系列

姓名IEEE International Workshop on Machine Learning for Signal Processing, MLSP
2022-August
ISSN(印刷版)2161-0363
ISSN(电子版)2161-0371

会议

会议32nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2022
国家/地区中国
Xi'an
时期22/08/2225/08/22

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