Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 87-88 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781665470506 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, Taiwan Duration: 6 Jul 2022 → 8 Jul 2022 |
Publication series
| Name | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|
Conference
| Conference | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|---|
| Country/Territory | Taiwan |
| City | Taipei |
| Period | 6/07/22 → 8/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- affine projection algorithm (APA)
- data selective
- fuzzy
- impulse noise
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