Affine projection Weibull M‐transform least mean square algorithm against impulsive interference-Reference-Cited by-同舟云学术

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Affine projection Weibull M‐transform least mean square algorithm against impulsive interference

Published:2021-07-07 Issue:17 Volume:15 Page:2151-2158
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Liu Pingchuan¹²^ORCID,Fan Kuangang²³,Qiu Haiyun¹²

Affiliation:

1. School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Ganzhou China

2. Magnetic Suspension Technology Key Laboratory of Jiangxi Province Jiangxi University of Science and Technology Ganzhou China

3. School of Electrical Engineering and Automation Jiangxi University of Science and Technology Ganzhou China

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12249

Reference30 articles.

1. Analysis of the normalized LMS algorithm with Gaussian inputs

2. On the convergence behavior of the LMS and the normalized LMS algorithms

3. A Robust Affine Projection Algorithm Against Impulsive Noise

4. Robust Shrinkage Normalized Sign Algorithm in an Impulsive Noise Environment

5. Bias-compensated constrained least mean square adaptive filter algorithm for noisy input and its performance analysis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive algorithms for blind channel equalization in impulsive noise;Signal Processing;2022-12

2. Combined Step-size Affine Projection M-estimator-like Algorithm;2022 China Automation Congress (CAC);2022-11-25

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