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Name: Ali Abdi
Type: User
Company: RWTH Aachen University
Bio: PhD Candidate / Research Assistant @ RWTH Aachen Univeristy
Twitter: AliAbdi_fa
Location: Germany
Blog: linkedin.com/in/ali-abdi
Name: Ali Abdi
Type: User
Company: RWTH Aachen University
Bio: PhD Candidate / Research Assistant @ RWTH Aachen Univeristy
Twitter: AliAbdi_fa
Location: Germany
Blog: linkedin.com/in/ali-abdi
Implementation of CE-42 paper (in Matlab) - they are not mine
Implementation of CE-43 paper (in Matlab) - they are not mine
This repository contains code to reproduce some of the results from the paper Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling using the Sionna™ link-level simulator.
Codes for paper Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems
Source code for paper "MIMO Channel Estimation using Score-Based Generative Models", published in IEEE Transactions on Wireless Communications.
Deep Learning for Massive MIMO with 1-Bit ADCs
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems
Pytorch codes for "An Adaptive and Robust Deep Learning Framework for THz Ultra-Massive MIMO Channel Estimation" in IEEE Journal of Selected Topics in Signal Processing (JSTSP), Jul. 2023.
This code is for the following paper: H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852–855, Oct. 2018.
Implementation of "Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation"
The source code for the paper
Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning
Deep Plug-and-Play Prior for Multitasking Channel Reconstruction in Massive MIMO Systems
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.
This repository contains the source codes and the description of the proposed solution to the challenge ML5H-PHY [channel estimation] by the team ICARUS.
DL-CE paper repo (#35 CE)
Implementation of "One-bit mmWave MIMO Channel Estimation Using Deep Generative Networks"
Implementation of "Massive MIMO Channel Estimation with an untrained deep neural network"
Wideband MIMO Channel Estimation for Hybrid Beamforming Millimeter Wave Systems via Random Spatial Sampling
This repository includes the source code of the DL-based symbol-by-symbol and frame-by-frame channel estimators proposed in "A Survey on Deep Learning Based Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
Code for JPTS:Enhancing Deep Learning Performance of Massive MIMO CSI Feedback
Python code and related materials for DualNet and U2D network.
Python code for "Deep Learning for Massive MIMO CSI Feedback"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.