On the Classification of Modulation Schemes Using Higher Order Statistics and Support Vector Machines
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09795-8.pdf
Reference44 articles.
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3. Hazza, A., Shoaib, M., Alshebeili, S. A., & Fahad, A. (2013, February). An overview of feature-based methods for digital modulation classification. In 2013 1st international conference on communications, signal processing, and their applications (ICCSPA) (pp. 1–6). IEEE.
4. Zhang, J., Wang, F., Zhong, Z., & Wang, S. (2018). Continuous phase modulation classification via Baum–Welch algorithm. IEEE Communications Letters, 22(7), 1390–1393.
5. Kim, S. J., & Yoon, D. (2016, October). Automatic modulation classification in practical wireless channels. In 2016 International conference on information and communication technology convergence (ICTC) (pp. 915–917). IEEE.
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