Bias‐compensated robust set‐membership NLMS algorithm against impulsive noises and noisy inputs-Reference-Cited by-同舟云学术

Bias‐compensated robust set‐membership NLMS algorithm against impulsive noises and noisy inputs

Published:2017-08 Issue:16 Volume:53 Page:1100-1102
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Zheng Zongsheng¹,Liu Zhigang¹,Lu Lu²

Affiliation:

1. School of Electrical EngineeringSouthwest Jiaotong UniversityChengdu610031People's Republic of China

2. School of Electrical EngineeringSouthwest Jiaotong University, Chengdu, 610031, People's Republic of ChinaDepartment of Electrical and Computer EngineeringMcGill UniversityMontrealQCH3A 2A7Canada

Funder

Sichuan Province Youth Science and Technology Innovation Team

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2017.1812

Reference11 articles.

1. New Sequential Partial-Update Least Mean M-Estimate Algorithms for Robust Adaptive System Identification in Impulsive Noise

2. Bias‐compensated normalised LMS algorithm with noisy input

3. Normalised least‐mean‐square algorithm for adaptive filtering of impulsive measurement noises and noisy inputs

4. Set‐membership NLMS algorithm with robust error bound;Zhang S.;Trans. Circuits Syst. II: Exp. Briefs,2014

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