luanshengyang

Associate Professor at Jiangsu Normal University

Jiangsu Normal UniversityXuzhou, Jiangsu, China

Pinned Repositories

1-Bit-ADCs
Deep Learning for Massive MIMO with 1-Bit ADCs
Language:MATLAB00
AMC-RDL2021.12
The codes to generate a radio signal dataset for deep learning under mixed noise and fading channels
4 1 02
Bandswitch-DeepMIMO
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
Language:Python0 0 00
code-for-learn-deep-learning-with-PyTorch-for-computer-vision
《深度学习之PyTorch实战计算机视觉》全书代码
Language:Jupyter Notebook00
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
10
DCEMAE
The code for a decoupled-coupled encoder-based masked autoencoder for automatic modulation classification
10
GLFCN
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
Language:Python10
MI-YOLO
Codes for MI-YOLO submitted to JEI
Language:Python10
MIA-GAN
Codes for MI-cGAN submitted to TVT
Language:Python10
MVision
机器人视觉移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习无人驾驶
Language:C++10

luanshengyang's Repositories

luanshengyang/AMC-RDL2021.12
The codes to generate a radio signal dataset for deep learning under mixed noise and fading channels
4 1 02
luanshengyang/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
10
luanshengyang/DCEMAE
The code for a decoupled-coupled encoder-based masked autoencoder for automatic modulation classification
10
luanshengyang/GLFCN
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
Language:Python10
luanshengyang/MI-YOLO
Codes for MI-YOLO submitted to JEI
Language:Python10
luanshengyang/MIA-GAN
Codes for MI-cGAN submitted to TVT
Language:Python10
luanshengyang/MVision
机器人视觉移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习无人驾驶
Language:C++10
luanshengyang/1-Bit-ADCs
Deep Learning for Massive MIMO with 1-Bit ADCs
Language:MATLAB00
luanshengyang/Bandswitch-DeepMIMO
Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.
Language:Python0 0 00
luanshengyang/cs231n.github.io
Public facing notes page
Language:Jupyter Notebook00
luanshengyang/daily-paper-computer-vision
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
00
luanshengyang/deep-learning-channel-estimation
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.
luanshengyang/Deep-Learning-for-DOA-Estimation-WIth-Random-Sensor-Positions
luanshengyang/Deep-Learning-Interview-Book
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）
luanshengyang/Deep-Learning-Power-Allocation-in-Massive-MIMO
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
luanshengyang/deepHybridBeamforming
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: ahmetmelbir@gmail.com This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.
Language:MATLAB0 0
luanshengyang/DeepLearning_MIMO
luanshengyang/DeepLearning_MIMO-NOMA
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.
luanshengyang/DL-hybrid-precoder
Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems
luanshengyang/DNN-For-Signal-Reconstruction
luanshengyang/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
luanshengyang/GNU-Radio-USRP-Beamforming
GNU Radio package implementing MUSIC and root MUSIC angle of arrival algorithms with blocks necessary to provide phase synchronization of USRP devices
Language:Python0 0
luanshengyang/gr-symbolrate
GNURadio block to determine unkown symbol rates
luanshengyang/Massive-MIMO-Radar-for-Target-Detection
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
luanshengyang/MIMO-Radar-Reinforcement-Learning-Environment
luanshengyang/PaddleViT
:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Language:Python0 0
luanshengyang/SBML
Sparse Bayesian Metric Learning
luanshengyang/simulationOfRadar
this is the simulation of mimo radar for Graduation Design
luanshengyang/Smart_container
🍰🍎“袋鼯麻麻——智能购物平台”能够精准地定位识别每一个商品，并且能够返回完整地购物清单及顾客应付的实际商品总价格，极大地降低零售行业实际运营过程中巨大的人力成本，提升零售行业无人化、自动化、智能化水平。
Language:Python0 0
luanshengyang/UCAS_Course_2019
**科学院大学2019-2020课程（秋季，春季，夏季）