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100 Days of ML Coding
A fast simulator and a library dedicated to the channel coding.
Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.
My C++ solutions to the Lessons section of Codility
:honeybee: EE 3018: Convolutional Code and OFDM Transceiver Implementation
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Channel Reconstruction Network implemented in PyTorch
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
This repository contains the code needed to reproduce results in the paper by M. Belgiovine, et al. “Deep Learning at the Edge for Channel Estimation in Beyond-5G Massive MIMO,” accepted at IEEE Wireless Communications Magazine (WCM), April 2021.
An implementation of a deep learning recommendation model (DLRM)
802.11a PHY Layer Implementation for USRP
generate channel information according to 3GPP spatial channel model(SCM)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
first repo
Implements Hybrid precoding in mmWave MIMO systems
This project contains MATLAB codes for the paper: L. Liang, W. Xu, and X. Dong, "Low-complexity hybrid precoding in massive mulituser MIMO systems," IEEE Wireless Communications Letters, vol. 3, no. 6, pp. 653-656, Dec. 2014.
An implementation of ‘’Learned Conjugate Gradient Descent Network for Massive MIMO Detection‘’
C and MATLAB implementation for LDPC encoding and decoding
C++ implementation of IEEE 802.11 codec (based on IT++)
Lab 4b with LDPC implementation
Nonbinary LDPC codes encoding and decoding implementation
Low density parity check codes. Encoder and belief propagation decoder written in C++.
Simulation of LDPC codes, with 802.11 matrices included
C++ simulation environment for LDPC codes.
Data over DAB: Demodulate OFDM into symbol string
Today, plenty of cellular systems utilize frequency-division duplexing (FDD). Downlink training for channel state information in FDD is difficult since training and feedback overhead is proportional to the number of antennas at the base station, which is large in a Massive MIMO systems. To deal with the limited feedback mechanism of downlink channel in FDD Massive MIMO system, we can adopt the double directional model. This is applicable for the 5G systems to get high capacity and data rate. We analyse and test the performance of the Limited feedback channel with DD model via the MATLAB and we had the better performance rather than other models.
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.