# RF_Classification

**Repository Path**: Coder_Zr/RF_Classification

## Basic Information

- **Project Name**: RF_Classification
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-04-28
- **Last Updated**: 2024-04-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RF Signal Transformation and Classification using Deep Neural Networks
Official Repository of the RF Classification Paper accepted in SPIE Defense and Commercial Symposium 2022.
## Datasets used: 
1- RadioML2016<br />
2- RF1024 
## How to Download the dataset?
1- RadioML2016 will be automatically downloaded on running RadioML_2016_Train.py<br />
2- RF1024 Dataset: [Google Drive Link to Download RF1024 Dataset](https://drive.google.com/drive/folders/1V7sZbf0UuQJ1V0Fmkg0xltx0UqNRQ8Jg?usp=sharing)<br />
Place the downloaded dataset in the folder rf1024_data
## Training
```bash
python RadioML_2016_Train.py --model resnet18
```
```bash
python RF1024_Train.py --model resnet18
```