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1-bit-adcs

Deep Learning for Massive MIMO with 1-Bit ADCs

amc-rdl2021.12

The codes to generate a radio signal dataset for deep learning under mixed noise and fading channels

bandswitch-deepmimo

Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper to appear in IEEE Transactions in Wireless Communications.

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

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

cs231n

cs231n assignments sovled by https://ghli.org

cs231n.github.io

Public facing notes page

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

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

dataset

Open RadioML Synthetic Benchmark Dataset

dcemae

The code for a decoupled-coupled encoder-based masked autoencoder for automatic modulation classification

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.

deep-learning-for-doa-estimation-with-random-sensor-positions

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）

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

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: [email protected] This codes can also be used with slight modification for applications, such as antenna selection + multi-user hybrid beamforming and DOA estimation.

deeplearning_mimo

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.

dl-hybrid-precoder

Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

dnn-for-signal-reconstruction

doa-estimation-ul-uca

This repository contains various small projects in matlab concentrating on DOA estimation using uniform linear/circle array.

doa-tools

A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

doasbasedoncnn

Inversion of gas concentration based on CNN,DOAS

examples

Useful RadioML Examples

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

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

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

gr-symbolrate

GNURadio block to determine unkown symbol rates

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

mi-yolo

Codes for MI-YOLO submitted to JEI