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Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"
Python 0.03%
Jupyter Notebook 99.97%
resnet-for-radio-recognition's Introduction
ResNet-for-Radio-Recognition
论文"Over the Air Deep Learning Based Radio Signal Classification"的实现与改进。
Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"
文件名 |
描述 |
ResNet_Model.ipynb |
原始的论文复现代码 |
ResNet_incomplete_dataset.ipynb |
改进的代码 |
sample_new_data2018.py |
分割数据集的代码 |
Models |
存放模型的文件夹 |
- ResNet_Model.ipynb中代码仅用于与改进的代码作参数和训练时间上的对比,在细节处理上很粗糙,主要还是参考ResNet_incomplete_dataset.ipynb文件
- 分割数据集是因为硬件限制,有条件的可以直接使用完整数据集。
- 更多内容和解释请看博客:使用ResNet模型进行无线电调制识别
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