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Ming Zeng

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2026

ELKFANet: Efficient Large Kernel Network Enabled Frame Acquisition for Low SNR Scenarios

Frame acquisition is crucial to the entire receiving process. However, both traditional methods and existing deep learning approaches encounter performance challenges in low signal-to-noise ratio (SNR) scenarios. To address this issue, this letter proposes a novel deep learning-enabled frame acquisition scheme. We firs...

Ming Zeng, Kui Xu, Xingyu Zhou et al. · 0 citations

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