ICL-Equalization

Code to reproduce the results of the paper "In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models".

For any queries please contact: [email protected] or [email protected]

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Results		Results
logs_test_bits_4		logs_test_bits_4
logs_test_bits_[1, 2, 3, 4, 5, 6, 7, 8]		logs_test_bits_[1, 2, 3, 4, 5, 6, 7, 8]
logs_train		logs_train
model_parameters		model_parameters
.DS_Store		.DS_Store
EQ_data.py		EQ_data.py
README.md		README.md
main.py		main.py
models.py		models.py
parameters.py		parameters.py
plot_MSE_vs_SNR.py		plot_MSE_vs_SNR.py
plot_MSE_vs_bits.py		plot_MSE_vs_bits.py
plot_MSE_vs_ntasks.py		plot_MSE_vs_ntasks.py
testing_equalizers.py		testing_equalizers.py
train.py		train.py

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