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  • Fudan Unitverity
  • Shanghai

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TianLin0509/README.md

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  1. Hybrid-Beamforming-for-Millimeter-Wave-Systems-Using-the-MMSE-Criterion Hybrid-Beamforming-for-Millimeter-Wave-Systems-Using-the-MMSE-Criterion Public

    The Matlab Simulation codes for Hybrid Beamforming for Millimeter Wave Systems Using the MMSE Criterion.

    MATLAB 144 48

  2. BF-design-with-DL BF-design-with-DL Public

    Beamforming design with deep learning.

    MATLAB 251 105

  3. Easiest-realization-CRNN-for-Chinese Easiest-realization-CRNN-for-Chinese Public

    不能更简单的基于keras的CRNN汉字识别代码. 即Fast R-CNN 网络的keras实现。

    Python 38 15

  4. Easiest-SRGAN-demo Easiest-SRGAN-demo Public

    最简单的基于SRGAN网络的实现, 附带已训练好的模型及GIF生成代码, 更适合作为Demo展示

    Python 80 30

  5. DNN_detection_via_keras DNN_detection_via_keras Public

    This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

    Python 160 67

  6. reproduction_of_BALS reproduction_of_BALS Public

    MATLAB 37 22