NamLeeIU's repositories
1T4R-24G-Multi-lane-Multi-vechile-FMCW-Traffic-Radar-Simulator
1T4R 24G Multi-lane Multi-vechile FMCW Traffic Radar Simulator
5G_based_System_level_Integrated_Sensing_and_Communication_Simulator
System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)
ADALM-Pluto-File-Transfer
File Transfer with ADALM Pluto SDR
aicv115m_api_template
Standard pipeline for solution submission of AICV115 AI Challenge.
AMC
This is my Master's Degree Thesis repository. It's about Signal Modulation Classification (or Automatic Modulation Recognition) using Deep Learning.
Angular-domain-Uniform-linear-array-radiation-reception
Implement MIMO model in angular domain by MATLAB
BBB-linux-device-driver
[OLD] Practical Linux device driver programming, discuss about source code Kernel. Using Kernel API, implement device and driver then build on Beagle Bone Black.
ebookMLCB
ebook Machine Learning cơ bản
DOA-estimation-UL-UCA
This repository contains various small projects in matlab concentrating on DOA estimation using uniform linear/circle array.
DoA-ML
matlab code for AoA Estimation of ULA/UCA
Draw-io-ECE
Custom-made draw.io-shapes - in the form of an importable library - for drawing circuits and conceptual drawings in draw.io.
FMCW-2T4R-SIM-MUSIC
FMCW 2T4R Radar Simulator and MUSIC Algorithm High Resolution DOA Estimation
FMCW-Radar-Simulator
This is a RF Radar Simulator. It generates FMCW radar data for close handwave chirp level signal data. Your can try develop your radar data processing algorithm base on this simulator.
FMCW_2T4R_Multi_Target_Detection_Positioning
MIMO FMCW 2T4R simulation. Multiple targets detection and positioning.
ghichep-docker
Những ghi chép về docker
MIMO_OFDM
《MIMO-OFDM无线通信技术及MATLAB实现》随书源码
pythagore-mod-reco
Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models
Radio-Modulation-Recognition-Networks
Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.