EsraaElhawash/Modulation-Classification

Classifying signals into their proper modulation type using a synthetic dataset, generated with GNU Radio, consisting of 11 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios. classification was done using a fully connected neural network and a Convolutional neural network

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