Specific Emitter Identification Based on CNN via Variational Mode Decomposition and Bimodal Feature Fusion-Reference-Cited by-同舟云学术

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Specific Emitter Identification Based on CNN via Variational Mode Decomposition and Bimodal Feature Fusion

Published:2023-01-29 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
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Author:

Su Jinling¹,Liu Heng¹,Yang Liu¹

Affiliation:

1. Southwest Jiaotong University,Key Lab of Information Coding & Transmission,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10075742.pdf?arnumber=10075742

Reference14 articles.

1. Permutation entropy of the electroencephalogram: a measure of anaesthetic drug effect

2. Variational Mode Decomposition

3. Epileptic Seizure Detection Using Empirical Mode Decomposition Based Fuzzy Entropy and Support Vector Machine

4. Wavelet Fingerprinting of Radio-Frequency Identification (RFID) Tags

5. Radar emitter recognition based on the short time fourier transform and convolutional neural networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A RSBU-LSTM network for radio frequency fingerprint identification relying on multiple features;EURASIP Journal on Advances in Signal Processing;2024-06-28

2. Specific emitter identification by wavelet residual network based on attention mechanism;IET Communications;2024-06-24

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