yoWenyo's Stars
wavefrontshaping/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
SuperManito/LinuxMirrors
GNU/Linux 更换系统软件源脚本及 Docker 安装脚本
TianLin0509/BF-design-with-DL
Beamforming design with deep learning.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
SuLingGG/OpenWrt-Rpi
Raspberry Pi & NanoPi R2S/R4S & G-Dock & x86 OpenWrt Compile Project. (Based on Github Action / Daily Update)
yang69/MIMO-OFDM-Wireless-Communications-with-MATLAB
MATLAB Code for MIMO-OFDM Wireless Communications with MATLAB | MIMO-OFDM无线通信技术及MATLAB实现
rishhabhnaik/End-to-end-OFDM-system-with-Deep-Learning-Driven-Approaches
We first implement an end-to end system on GNU radio using two USRP X310 for the transmitter and the receiver in an indoor setting. We then build a comprehensive model using the components individually rather than the built-in OFDM transmitter and receiver. We use two different approaches to incorporate machine learning to enhance aspects of the communication system, in a bid to improve channel estimation, in the presence of multi-path fading and frequency offset. Each of our models offers a different advantage. With the first model, JCES performs joint channel estimation and symbol detection. It offers a performance comparable to that of the MMSE estimator even in the case of no cyclic prefix being used. The Cs-CNN (cascaded CNN model) explicitly performs channel estimation and estimates the channel response. This is crucial as it would allow us to further try and maximize the data transfer while keeping the bit error rate as low as possible. Using this model, we hope to use dynamically updating CP-OFDM in the future. Since, synchronization is such an important aspect, we explore a bare bone implementation.
luanshiyinyang/PlotNeuralNet
包含PlotNeuralNet绘制神经网络结构图的教程源码
pooneyy/WeibanQuestionsBank
安全微伴题库
ken0225/RIS-Codes-Collection
RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.
jwwthu/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
mahermarwani/Graph-Neural-Networks-Approach-for-Joint-Wireless-Power-Control-and-Spectrum-Allocation
Official repository for Graph Neural Networks Approach for Joint Wireless Power Control and Spectrum Allocation
DaoCloud/public-image-mirror
很多镜像都在国外。比如 gcr 。国内下载很慢,需要加速。致力于提供连接全世界的稳定可靠安全的容器镜像服务。
wileyyugioh/zotmoov
Zotero plugin to automatically move attachments and link them
MuiseDestiny/zotero-attanger
Attachment Manager for Zotero
ft-abhx/Implement-Multipath-Model-for-Communication-in-Wireless-channel
Implementation of Bit Error Rate for multipath models like AWGN, Rayleigh, and Rician Fading Channel models under BPSK Modulation Scheme.
mingyuyng/OFDM-guided-JSCC
Code for paper 'OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels', IEEE TCCN
MatCip/Simulation_wireless_channels
Simulation of Multipath Fading Channels: Improvements of Jake’s Simulator
LyricYang/MIMO_OFDM
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
2417677728/OFDM
A MATLAB program to help understand OFDM.
bb16177/OTFS-Simulation
A simulation of a wideband wireless communications system with multipath fading for OFDM and OTFS
TWCLabSJTU/TeraISAC
MrHaobolu/ISAC_4D_IMaging
4D ISAC Imaging Simulation Based on Millimeter Wave OFDM Signals with MUSIC Algorithm Written in Matlab
liuhtbupt/compressed-sensing-enabled-integrated-sensing-and-communication
The code about published ISAC paper
xds0112/5G_based_System_level_Integrated_Sensing_and_Communication_Simulator
System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)
sumizomechou/DDQN_adaptive_modulation_coding
BetterBench/OFDM-simulation-Python
OFDM 详细仿真过程Python实现
gymmer/py_ofdm_cs
burakozpoyraz/Block-DNN
Block Deep Neural Network-Based Signal Detector for Generalized Spatial Modulation