Research on Time-frequency Energy Distribution Characteristics of PSWFs Signals Based on WVD-Reference-Cited by-同舟云学术

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Research on Time-frequency Energy Distribution Characteristics of PSWFs Signals Based on WVD

Published:2021-09-24 Issue: Volume: Page:
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Container-title:2021 4th International Conference on Information Communication and Signal Processing (ICICSP)
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Author:

Leyuan Zhao,Chuanhui Liu,Bihui Liu,Faping Lu,Jiafang Kang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9611818/9611829/09611851.pdf?arnumber=9611851

Cited by 6 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. Sparse Aperture ISAR Imaging and Cross-Range Scaling of Maneuvering Targets Based on Sparse CICPF Method;IEEE Sensors Journal;2024-06-01

2. Prediction of Hybrid Asynchronous Frequency Hopping Pattern based on Deep Learning in Wideband Spectrum;2023 China Automation Congress (CAC);2023-11-17

3. An UBSS Method for Signals with Non-Uniform Energy Distribution of Varied Frequency Bins;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

4. Enhancing time‐frequency resolution via deep‐learning framework;IET Signal Processing;2023-04

5. Unlocking Signal Processing With Image Detection: A Frequency Hopping Detection Scheme for Complex EMI Environments Using STFT and CenterNet;IEEE Access;2023

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