This repository presents TransIQ, a Transformer-based model designed for Automatic Modulation Recognition (AMR), as detailed in the following article. Please use the following paper for citation:
Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers
In this study, we utilized two key datasets: the RadioML 2016 dataset, and the CSPB.ML.2018+ dataset, which is derived from the dataset published by Spooner, C.M. under the title "Dataset for the Machine-Learning Challenge [CSPB.ML.2018]."