multiple signal classification python

In a prediction vector the data sample is reduced to the classification outcome and the assigned label. Testing case 1, arrival angle: [0. It allows to define a certain application setup such as involved components, communication parameters, acquisition hardware, number and type of node chains by using additional parameter files that reference other pySPACE specification files like in the offline analysis. Schalk, G. The authors propose a deep learning architecture, likely based on convolutional neural networks CNNs or recurrent neural networks RNNs , to extract relevant features from the radio signal data and classify them into different modulation types.

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