GitHub topics: radio-modulation-classification
KristynaPijackova/Radio-Modulation-Recognition-Networks
Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.
Language: Jupyter Notebook - Size: 6.49 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 60 - Forks: 19
