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机译:卷积神经网络和多特征融合的自动调制分类
Naval Univ Engn Natl Key Lab Sci & Technol Vessel Integrated Powe Wuhan 430033 Hubei Peoples R China;
cognitive radio; signal classification; modulation; signal detection; image representation; feature extraction; learning (artificial intelligence); pattern classification; convolutional neural nets; automatic modulation classification; cognitive radio; spectrum sensing; modulation signals; CS; constellation diagram; CD; two-branch CNN model; gradient decent strategy; multifeature fusion technique; simple neural network; state-of-the-art deep learning-based methods; convolutional neural network-based AMC method;
机译:利用卷积神经网络融合SPWVD和BJD的自动调制分类
机译:微粒船舶分类的卷积神经网络多重特征融合
机译:基于卷积神经网络多重特征融合的医学脑图像分类
机译:利用卷积神经网络实现基于融合的自动调制分类
机译:结合卷积神经网络和图形神经网络的图像分类
机译:用于自动睡眠阶段分类的多分支卷积神经网络嵌入式阶段改进和残余注意力信道融合
机译:顺序卷积经常性神经网络,用于快速自动调制分类