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Recent studies show that deep learning models such as neural networks can extract features effectively from various representation of wireless signals such as in-phase and quadrature (IQ) signal or spectrogram in order to achieve high modulation classification accuracy [3–6].

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Deep Learning Techniques for Wireless Communication Systems

  • 章节

  • 发表日期：

    2025年

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  • Ziad El-Khatib,
  • Sherif Moussa

摘要

Recent studies show that deep learning models such as neural networks can extract features effectively from various representation of wireless signals such as in-phase and quadrature (IQ) signal or spectrogram in order to achieve high modulation classification accuracy [3–6].