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Robust Fuzzy-based Data-Selective Affine Projection Algorithm

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2 引文 斯高帕斯(Scopus)

摘要

This paper presents a fuzzy-based approach to determine a threshold during the data selection process systematically. This makes the conventional data-selective affine projection algorithm (DSAP) robust to the impulse noise. In addition, an error-weighting vector is proposed to enhance our algorithm's robustness further. Simulation results confirmed that our proposed method ultimately improves stability, tracking ability, and robustness while reducing the weight-updating rate in the case of impulse noise presented.

原文English
主出版物標題Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
發行者Institute of Electrical and Electronics Engineers Inc.
頁面87-88
頁數2
ISBN(電子)9781665470506
DOIs
出版狀態Published - 2022
事件2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan
持續時間: 6 7月 20228 7月 2022

出版系列

名字Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022
國家/地區Taiwan
城市Taipei
期間6/07/228/07/22

文獻附註

Publisher Copyright:
© 2022 IEEE.

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