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基于累积物的高效自动调制分类使用机器学习

Ben Dgani1, Israel Cohen1

  • 1Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel.

Sensors (Basel, Switzerland)
|January 26, 2024
PubMed
概括

本研究介绍了一种用于认知无线电 (CR) 网络的新,具有成本效益的自动调制分类 (AMC) 技术. 通过使用高阶累积,它超过了复杂的深度学习方法,非常适合关键应用.

关键词:
累积物是一种累积物.机器学习是机器学习.调制分类的分类方法

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