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seemeekang's Projects

5g icon 5g

5G Cellular Networks

5gm-data icon 5gm-data

Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

ai-agriculture-deployment icon ai-agriculture-deployment

This is machine learning and deep learning based website which recommends the best crop to grow, fertilizers to use and the diseases caught by your crops.

ai-maskeeper icon ai-maskeeper

mask detection, Raspberry Pi, MLX90614, Python, Flask, OpenCV, 树莓派,口罩佩戴检测,人工智能、温度检测

anyplace icon anyplace

A free and open Indoor Navigation Service with superb accuracy!

autoencoder_for_physical_layer icon autoencoder_for_physical_layer

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

beamdiscoverypublic icon beamdiscoverypublic

This repository contains simulation codes for the paper "Source Coding Based Millimeter-Wave Channel Estimation with Deep Learning Based Decoding"

bf-design-with-dl icon bf-design-with-dl

This is the simulation code for the paper "Beamforming Design for Large-scale Antenna Arrays with the Help of Deep Learning Approach"

bulbea icon bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

channel-estimation icon channel-estimation

Simulates an FBMC and OFDM transmission over a doubly-selective channel. Allows to reproduce all figures from "Doubly-Selective Channel Estimation in FBMC-OQAM and OFDM Systems", IEEE VTC Fall, 2018

deep-learning-channel-estimation icon 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-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning-for-5g-networks icon deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

deepfi icon deepfi

An Indoor Fingerprinting Localization Algorithm which uses CSI from wifi

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepslice icon deepslice

DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks

dl-hybrid-precoder icon dl-hybrid-precoder

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

dl_ofdm icon dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

exp-lsf-spatial-corr-mmimo-chn-est icon exp-lsf-spatial-corr-mmimo-chn-est

Codes for reproducing the numerical results reported in "Exponential Spatial Correlation with Large-Scale Fading Variations in Massive MIMO Channel Estimation" by Victor Croisfelt Rodrigues, José Carlos Marinello Filho, and Taufik Abrão. Transactions on Emerging Telecommunications Technologies. 2019;e3563.

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