文件名称：deep learning for joint channel estimation and detection in OFDM system
文件大小：27KB
文件格式：RAR
更新时间：2021-12-13 08:31:01
deep learnin python ofdm
This is the readme for applying deep learning for joint channel estimation and detection in OFDM system. 只是其中一部分，另一部分，分开上传，因为太大le The codes have been tested on Ubuntu 16.04 + tensorflow 1.1 + Python 2.7 Dependences: 1. Tensorflow 2. Winner Channel Model Get Start: cd ./DNN_Detection python Example.py
【文件预览】：
DNN_Detection
----OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot_withoutCP.py(15KB)
----Pilot_8(400B)
----utils.pyc(5KB)
----Pilot_64(3KB)
----OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot_with_different_pilots.py(15KB)
----utils.py(7KB)
----Test.py(6KB)
----Train.pyc(6KB)
----Train.py(10KB)
----Pilot_16(800B)
----Main.py(587B)
----Example.py(11KB)
----OFDM_ChannelEstimation_DeepLearning_QAM_random_pilot.py(13KB)
----ReadMe.txt(232B)