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Zi-Yang Ma

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Aug 2026

AutoFIR: An Automated Framework for Resource-Efficient EEG FIR Filtering on FPGAs.

This work presents AutoFIR, an automated co-design framework that translates high-level EEG filtering specifications into FPGA-based FIR implementations and suggests that coordinated, signal-aware automation is promising for the evaluated resource-constrained EEG FIR filtering scenario.

Hui Liu, Heng Li, Hong-Li Wang et al. · 0 citations

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