@inproceedings{f3e3da2c76004ba5883583220501629a,
title = "Bias-compensated LMS algorithm for sparse systems over adaptive network",
abstract = "We propose bias-compensated algorithms based on the RZA-LMS algorithm and diffusion RZA-LMS algorithm. Our proposed algorithms improve the accuracy of estimation under the situation that input of the adaptive filter contains noise. Estimation methods of the input noise' variance are given for implementing our single-node and diffusion bias-compensated algorithms. Simulation results show that the proposed algorithms have better accuracy than algorithms without bias-compensation and the estimation results are unbiased under different noise levels.",
keywords = "Bias-compensation, adaptive networks, diffusion networks, least mean squares, sparse system",
author = "Wenxuan Han and Lijuan Jia and Shunshoku Kanae and Zijiang Yang",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028775",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "8912--8916",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}