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A Neural Network Detector for Spectrum Sensing under Uncertainties
The result displays the neural network's potential in exploiting implicit and incomplete knowledge about the signal's structure.
Comparison of Neural Network Architectures for Spectrum Sensing
Given abundant training data and computational and memory resources, CNN, RNN, and BiRNN are shown to achieve similar performance.
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