Zhifan Song
1 indexed paper
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126
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Architecture×1
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2026
A Heterogeneous Neural Network Accelerator for End-to-End Multitask RF Signal Recognition
This paper proposes a heterogeneous neural network accelerator for multi-task RF signal recognition, achieving high accuracy and low latency for automatic modulation recognition, hardware-Trojan covert channel detection, and GNSS jamming classification.
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