PrototypeCommon
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…
- Owner
- KristynaPijackova (personal account)
- Stars
- Stars: 113
- Forks
- Forks: 25
- Language
- Jupyter Notebook
- License
- MIT
- Created
- 2020
- Topics
- modulation-classificationmodulation-recognitionradio-modulation-classificationdeepsigrf-signalsradio-modulation-recognition
- Tier
- Prototype (100 to 249 ★) What this tier means
Nearby in Jupyter Notebook
All Jupyter Notebook repos- AkarshVyas/Machine-Learning-Part-1Stars: 113Jupyter NotebookPrototype
- YuzeHao2023/DelhiLMStars: 113Jupyter NotebookPrototype
- mmcncc/ipynbStars: 113Jupyter NotebookPrototype
- alchemyst/Skogestad-PythonStars: 113Jupyter NotebookPrototype
- romeokienzler/ibm-developerStars: 113Jupyter NotebookPrototype
- oborel/obo-relationsStars: 113Jupyter NotebookPrototype