PrototypeCommune
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…
- Propriétaire
- KristynaPijackova (compte personnel)
- Étoiles
- Étoiles : 113
- Forks
- Forks : 25
- Langage
- Jupyter Notebook
- Licence
- MIT
- Création
- 2020
- Sujets
- modulation-classificationmodulation-recognitionradio-modulation-classificationdeepsigrf-signalsradio-modulation-recognition
- Rang
- Prototype (100 à 249 ★) Ce que veut dire ce rang
D’autres dépôts Jupyter Notebook
Tous les dépôts Jupyter Notebook- AkarshVyas/Machine-Learning-Part-1Étoiles : 113Jupyter NotebookPrototype
- YuzeHao2023/DelhiLMÉtoiles : 113Jupyter NotebookPrototype
- mmcncc/ipynbÉtoiles : 113Jupyter NotebookPrototype
- alchemyst/Skogestad-PythonÉtoiles : 113Jupyter NotebookPrototype
- romeokienzler/ibm-developerÉtoiles : 113Jupyter NotebookPrototype
- oborel/obo-relationsÉtoiles : 113Jupyter NotebookPrototype