Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size
- DOI
- 10.1109/access.2020.2975536
- Published
- 2020
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2020.2975536,
title = {Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size},
author = {Yonghui Xu and Zixuan Yang and Yuqi Liu and Shouda Jiang},
year = {2020},
journal = {IEEE Access},
doi = {10.1109/access.2020.2975536},
url = {https://doi.org/10.1109/access.2020.2975536}
}RIS
TY - JOUR TI - Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size AU - Yonghui Xu AU - Zixuan Yang AU - Yuqi Liu AU - Shouda Jiang PY - 2020 JO - IEEE Access DO - 10.1109/access.2020.2975536 UR - https://doi.org/10.1109/access.2020.2975536 ER -
APA
Xu, Y., Yang, Z., Liu, Y., & Jiang, S. (2020). Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size. IEEE Access. https://doi.org/10.1109/access.2020.2975536
Source records
- crossref · retrieved 2026-09-26T08:30:09.922Z