Using Mutual Information to Perform Modulation Recognition on the Sig53 Dataset

This paper discusses an approach to classification (modulation recognition) of RF signals based on mutual information calculations. A small amount of labeled (representative) signals from each source are used by the classification system when determining the class of an unknown (test) signal. This method may be useful in scenarios where labeled data is unavailable in significant quantities.