wozaimoyu Goto Github PK
Name: Yuchen Wu
Type: User
Company: Northeastern University
Location: Shen yang
Name: Yuchen Wu
Type: User
Company: Northeastern University
Location: Shen yang
Design of BAC-NOMA when OFDM or SDMA is used in legacy systems
Code for paper https://arxiv.org/abs/2108.00785
Code for "Overcoming Beam Squint in Dual-Wideband mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach"
This is an implementation of BCsiNet for results reproduction on COST2100
Block Diagonalization Algorithm
Analog and digital beamforming are considered with BDMA
mmWave beam prediction using sub-6GHz waves and user location
Multi-Modal beam tracking
The code for the paper "Beamfocusing Optimization for Near-Field Wideband Multi-User Communications" in IEEE Transactions on Communications
Investigation of DoA Estimation using Neural Networks
Simulation code for "Fast adaptive minorization-maximization procedure for beamforming design of downlink NOMA systems," by O. Lyons, M. F. Hanif, M. Juntti, L.-N. Tran, IEEE Trans. Veh. Technol., vol. 69, no. 7, pp. 8023-8027, Jul. 2020.
Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications
Beam selection algorithm for hybrid beamformer
using the level of spatial correlation and discrete phase shifter
Optimization of Transmit Beamforming With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
Library for 8-bit optimizers and quantization routines.
Bit Error and Block Error Rate Training for ML-Assisted Communication: simulation scripts and source code
My python code for algorithms in paper Block-Randomized Stochastic Proximal Gradient for Low-Rank Tensor Factorization
Binarized Neural Network DoA estimation
This repository contains the code for the book chapter "Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays"
This repository contains the codes for the book chapter "Near-Field Beamforming and Multiplexing Using Extremely Large Aperture Arrays". The chapter can be found at https://arxiv.org/abs/2209.03082
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.