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Jianhao_Huang
abec536609
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2 years ago | |
|---|---|---|
| .. | ||
| .idea | 2 years ago | |
| Data | 2 years ago | |
| Model_data | 2 years ago | |
| Test_plot | 2 years ago | |
| __pycache__ | 2 years ago | |
| .DS_Store | 2 years ago | |
| Data_detector.py | 2 years ago | |
| MINE.py | 2 years ago | |
| README | 2 years ago | |
| Representation.py | 2 years ago | |
| Train_Result.out | 2 years ago | |
| eta_functions.py | 2 years ago | |
| functions_es.py | 2 years ago | |
| main.py | 2 years ago | |
| pic.py | 2 years ago | |
| requirements.txt | 2 years ago | |
README
Run the "main.py" for training the neural network.
"./Data/dataforpython.mat" is the data set, which can be replaced by using the main_for_power.m file in the GAMPalgorihm.
After training, "pic.py" shows the performance.
This project provides two well-known algorithms, message passing and deep learning, to handle the noncoherent detection problem in the many access channel.
Unity3D Asset
Contributors (1)