deep learning for joint channel estimation and detection in OFDM system

[{"title":"（ 14 个子文件 27KB ） deep learning for joint channel estimation and detection in OFDM system","children":[{"title":"DNN_Detection","children":[{"title":"OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot_withoutCP.py <span style='color:#111;'> 14.99KB </span>","children":null,"spread":false},{"title":"Pilot_8 <span style='color:#111;'> 400B </span>","children":null,"spread":false},{"title":"utils.pyc <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"Pilot_64 <span style='color:#111;'> 3.13KB </span>","children":null,"spread":false},{"title":"OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot_with_different_pilots.py <span style='color:#111;'> 14.65KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 7.31KB </span>","children":null,"spread":false},{"title":"Test.py <span style='color:#111;'> 6.22KB </span>","children":null,"spread":false},{"title":"Train.pyc <span style='color:#111;'> 6.43KB </span>","children":null,"spread":false},{"title":"Train.py <span style='color:#111;'> 9.56KB </span>","children":null,"spread":false},{"title":"Pilot_16 <span style='color:#111;'> 800B </span>","children":null,"spread":false},{"title":"Main.py <span style='color:#111;'> 587B </span>","children":null,"spread":false},{"title":"Example.py <span style='color:#111;'> 11.46KB </span>","children":null,"spread":false},{"title":"OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot.py <span style='color:#111;'> 13.09KB </span>","children":null,"spread":false},{"title":"ReadMe.txt <span style='color:#111;'> 232B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]