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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.
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.
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