Amc-net: An effective network for automatic modulation classification

[PDF] arxiv.org

SSwsrNet: A Semi-Supervised Few-Shot Learning Framework for Wireless Signal Recognition

H Zhang, F Zhou, Q Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Wireless signal recognition (WSR) is crucial in modern and future wireless communication
networks since it aims to identify properties of the received signal. Although many deep …
相关文章 所有 3 个版本

A Cross-Scale Embedding Based Fusion Transformer for Automatic Modulation Recognition

C Zhao, J Chen, X Huang, Z Wu - IEEE Communications …, 2023 - ieeexplore.ieee.org
A novel Cross-Scale Embedding Based Fusion Transformer, called CE-FuFormer for
automatic modulation recognition was proposed in this letter. In CE-FuFormer, a cross-scale …
被引用次数：2 相关文章
[PDF] arxiv.org

T-PRIME: Transformer-based Protocol Identification for Machine-learning at the Edge

M Belgiovine, J Groen, M Sirera… - … -IEEE Conference on …, 2024 - ieeexplore.ieee.org
Spectrum sharing allows different protocols of the same standard (eg, 802.11 family) or
different standards (eg, LTE and DVB) to coexist in overlapping frequency bands. As this …
相关文章 所有 4 个版本

Adaptive Denoising With Efficient Channel Attention for Automatic Modulation Recognition

H Zhu, Y Ma, X Zhang, C Hao - ICC 2024-IEEE International …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is crucial for efficient modulation type recognition in
modern wireless systems, but its performance suffers from low signal-to-noise ratios (SNR) …
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Spectrum Enhancement Based Modulation Recognition with Dual-Cue Attention Fusion and Extraction

J Gao, J Li, S Ning, Q Wu - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is a vital stage in spectrum regulation and
information security of wire-less communication systems. To explore implicit characteristics …
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