Martin.Liu's Projects
安卓学习笔记
학사학위 졸업논문 연구내용 "OFDM 신호검출을 위한 기계학습의 활용" 프로젝트
后端架构师技术图谱
Deep Learning-Based Channel Estimation
Implementation of the paper "Deep Learning-Based Channel Estimation"
CNN is used to classify OFDM modulation types
Implemention of ComNet
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Codes for "Deep Joint Source Channel Coding for Wireless Image Transmission with OFDM", accepted by ICC 2021
A framework to estimate the Channel State Information for a 5G communication
应用深度学习到OFDM通信系统中的论文文献汇总
Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019
Tensorflow implementation for the paper of "Deep Learning-Based Detector for OFDM-IM"
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks
MATLAB simulation of DM-OFDM-IM
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
Implementation of DNCNN in TensorFlow-Slim
A TensorFlow 2 implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.
Codes for "Deep Joint Source-Channel Coding for Wireless Image Transmission with Adaptive Rate Control"
Deep energy autoencoder for noncoherent communications
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
A PyTorch implementation of a denoising network called FFDNet
从 DnCNN 到 UDnCNN 再到 DUDnCNN 的图像降噪
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR