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Automatic Modulation Classification implemented on different deep learning frameworks

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amc_baby_models

This repo shows how to train a simple neural network for Automatic Modulation Classification (AMC) using a couple different frameworks. No reason to get tied down to one, right? Included is a tiny dataset generated using matlab with 4 classes (BPSK, QPSK, PAM4, GMSK) to use on all the jupyter notebooks.

Included notebooks

  • PyTorch 1.3
  • Tensorflow 2.0 (with Keras)
  • MATLAB

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Automatic Modulation Classification implemented on different deep learning frameworks

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