Advanced CNN-RNN Model Based Automatic Modulation Classification on Resource-Constrained End Devices
Abstract: In this paper, we propose a hybrid convolutional recurrent neural network (CNN-RNN) model to operate on resource-constrained end (RCE) devices for automatic modulation classification (AMC).
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