luanshengyang Goto Github PK
Name: LUAN Shengyang
Type: User
Company: Jiangsu Normal University
Bio: Associate Professor at Jiangsu Normal University
Location: Xuzhou, Jiangsu, China
Name: LUAN Shengyang
Type: User
Company: Jiangsu Normal University
Bio: Associate Professor at Jiangsu Normal University
Location: Xuzhou, Jiangsu, China
Deep Learning for Massive MIMO with 1-Bit ADCs
The codes to generate a radio signal dataset for deep learning under mixed noise and fading channels
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
《深度学习之PyTorch实战计算机视觉》全书代码
This is code of book "Learn Deep Learning with PyTorch"
cs231n assignments sovled by https://ghli.org
Public facing notes page
CVPR 2021 论文和开源项目合集
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Open RadioML Synthetic Benchmark Dataset
The code for a decoupled-coupled encoder-based masked autoencoder for automatic modulation classification
Simulation code for “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” by Özlem Tugfe Demir, Emil Björnson, IEEE Open Journal of the Communications Society, To appear.
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
This is the code package related to the follow scientific article: Luca Sanguinetti, Alessio Zappone, Merouane Debbah 'Deep-Learning-Power-Allocation-in-Massive-MIMO' presented at the Asilomar Conference on Signals, Systems, and Computers, 2018. http://www.asilomarsscconf.org
These MATLAB scripts are prepared by A.M.E for the following paper, A. M. Elbir, "CNN-Based Precoder and Combiner Design in mmWave MIMO Systems," IEEE Communications Letters, vol. 23, no. 7, pp. 1240-1243, July 2019 please cite the above work if you use this codes, For any comments and questions please email: [email protected] This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.
Realization of MIMO-NOMA signal detection system based on **C. Lin et al., “A deep learning approach for MIMO-NOMA downlink signal detection,” MDPI Sensors, vol. 19, no. 11, pp. 2526, 2019.
Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems
This repository contains various small projects in matlab concentrating on DOA estimation using uniform linear/circle array.
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
Inversion of gas concentration based on CNN,DOAS
Useful RadioML Examples
Flops counter for convolutional networks in pytorch framework
The neural network structure for Automatic Modulation Classification: Decision Tree Based on Error Entropy and Global-Local Feature-Coupling Network under Mixed Noise and Fading Channels
GNU Radio package implementing MUSIC and root MUSIC angle of arrival algorithms with blocks necessary to provide phase synchronization of USRP devices
GNURadio block to determine unkown symbol rates
This repository contains the Matlab code used to generate the results in the paper “Massive MIMO Radar for Target Detection” https://arxiv.org/abs/1906.06191
Codes for MI-YOLO submitted to JEI
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