/Distortion-Correction-in-Modulation-Recognition

Using CNNs to correct distortion in modulation recognition

Primary LanguagePython

Distortion-Correction-in-Modulation-Recognition

Modulation recognition is an important task in enabling cognitive radio. Traditionally, statistical methods are used to correct distortion in modulation recognition. We implement a method employing CNNs to correct the distortion.

Instructions

  1. Download the DEEPSIG DATASET: RADIOML 2016.10A
  2. Extract it into the working directory
  3. Install dependencies - Keras, Pickle, Numpy, Matplotlib
  4. Run the model

This project is part of Introducing to Machine Learning (CS419 @CS.IITB)

Team