LTwIST

A deep compressed sensing model based on unfolding algorithm

Train

python train.py
Modify parameters in the training file for different sampling rates, epochs, etc.
The trained model will be saved in the folder you defined. The trained model is available at https://drive.google.com/file/d/1SjDYfDlI672gd2axi9wcE7ABlGoMLtgC/view?usp=sharing.

python test.py Modify parameters in the testing file for different sampling rates, epochs, etc.
The result will be saved in the folder you defined.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
models		models
utils		utils
val/SET11		val/SET11
APPENDIX A-IMPLEMENTATION DETAILS OF U-BLOCK.pdf		APPENDIX A-IMPLEMENTATION DETAILS OF U-BLOCK.pdf
README.md		README.md
eval.py		eval.py
train.py		train.py