AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs
- DOI
- 10.1109/tbcas.2026.3719430
- Published
- 2026
- Container
- IEEE Transactions on Biomedical Circuits and Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tbcas.2026.3719430,
title = {AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs},
author = {Hui Liu and Hengxu Li and Hongli Wang and Lin Sun and Ziyang Ma and Lin Zhang and Hongdang Zheng and Chao Chen},
year = {2026},
journal = {IEEE Transactions on Biomedical Circuits and Systems},
doi = {10.1109/tbcas.2026.3719430},
url = {https://doi.org/10.1109/tbcas.2026.3719430}
}RIS
TY - JOUR TI - AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs AU - Hui Liu AU - Hengxu Li AU - Hongli Wang AU - Lin Sun AU - Ziyang Ma AU - Lin Zhang AU - Hongdang Zheng AU - Chao Chen PY - 2026 JO - IEEE Transactions on Biomedical Circuits and Systems DO - 10.1109/tbcas.2026.3719430 UR - https://doi.org/10.1109/tbcas.2026.3719430 ER -
APA
Liu, H., Li, H., Wang, H., Sun, L., Ma, Z., Zhang, L., Zheng, H., & Chen, C. (2026). AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs. IEEE Transactions on Biomedical Circuits and Systems. https://doi.org/10.1109/tbcas.2026.3719430
Source records
- crossref · retrieved 2026-09-25T20:44:23.217Z