5gm-data-master
代码说明：
说明： 基于机器学习的5g信道估计，能正常运行，好用(The 5g channel estimation based on machine learning can run normally and is easy to use)
文件列表：
5gm-data-master, 0 , 2020-01-17
5gm-data-master\LICENSE, 35147 , 2020-01-17
5gm-data-master\README.md, 965 , 2020-01-17
5gm-data-master\ak_generateInSitePlusSumoList.py, 4523 , 2020-01-17
5gm-data-master\ak_generateInfoList.py, 6788 , 2020-01-17
5gm-data-master\ak_interpret.py, 5800 , 2020-01-17
5gm-data-master\convert5gmv1ForBeamSelectionInPython.py, 8096 , 2020-01-17
5gm-data-master\convert5gmv1ToChannels.py, 8469 , 2020-01-17
5gm-data-master\convert5gmv1ToInputPositionMatrices.py, 8352 , 2020-01-17
5gm-data-master\documentation, 0 , 2020-01-17
5gm-data-master\documentation\block-diagram.png, 147057 , 2020-01-17
5gm-data-master\getBestBeamsFromChannelRays.py, 15197 , 2020-01-17
5gm-data-master\interpret5gmv1.py, 5098 , 2020-01-17
5gm-data-master\matlab, 0 , 2020-01-17
5gm-data-master\matlab\parse_urban_canyon_v2i_5gmv1_rays.m, 4565 , 2020-01-17
5gm-data-master\mimo_channels.py, 15064 , 2020-01-17
5gm-data-master\setup.py, 511 , 2020-01-17
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