An electromagnetic signal classification method inspired by the visual characteristics of biological dual-channel
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-023-03518-y.pdf
Reference33 articles.
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3. Digham, F. F., Alouini, M. S., & Simon, M. K. (2007). On the energy detection of unknown signals over fading channels. IEEE Transactions on Communications, 55, 21–24. https://doi.org/10.1109/ICC.2003.1204119
4. Tian, Z., Tafesse, Y., & Sadler, B. M. (2011). Cyclic feature detection with sub-Nyquist sampling for wideband spectrum sensing. IEEE Journal of Selected topics in signal processing, 6, 58–69. https://doi.org/10.1109/JSTSP.2011.2181940
5. O’Shea, T.J., West, N. (2016). Radio machine learning dataset generation with gnu radio. Proceedings of the GNU Radio Conference 1.
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