SheldonHsieh

SheldonHsieh's Stars

• LyricYang/MIMO_OFDM

  《MIMO-OFDM无线通信技术及MATLAB实现》随书源码

  Language:Matlab780151275

• 2417677728/OFDM

  A MATLAB program to help understand OFDM.

  Language:MATLAB28673102

• haoyye/OFDM_DNN

  Language:Python2271216135

• hassiweb/otfs-chan-est-and-eq

  Simulation codes for "Channel Estimation and Equalization for CP-OFDM-based OTFS in Fractional Doppler Channels"

  Language:MATLAB1423832

• bb16177/OTFS-Simulation

  A simulation of a wideband wireless communications system with multipath fading for OFDM and OTFS

  Language:MATLAB893127

• ironman1996/OTFS-simple-simulation

  OTFS simple simulation, including OTFS modulation, channel generate, channel output, MP detector

  Language:MATLAB591110

• mc6666/PyTorch_Book

  PyTorch 深度學習範例

  Language:Jupyter Notebook582028

• mc6666/DL_Book

  Language:Jupyter Notebook453127

• MohammadaliMohammadi/Cell-free-OTFS

  Cell-free Massive MIMO Meets OTFS Modulation

  Language:MATLAB442011

• YongzhiWu/OTFS_radar

  OTFS radar sensing algorithm

  Language:MATLAB44133

• Alga53/DISMMSE-Turbo-Equalizer-for-OTFS

  This repo contains simulation code for DI-S-MMSE Turbo Equalizer and LMMSE Equalizer applied to OTFS Modulation.

  Language:MATLAB40208

• RanXu2001/IRS-OTFS-System-Project

  Language:MATLAB30246

• edenhu1111/OTFS-sensing

  Simulation of OTFS sensning

  Language:MATLAB27112

• NoDuckyAnyMore/OTFS_SDR

  Language:MATLAB22323

• acyiobs/sensing_aided_OTFS_channel_estimation_

  Language:MATLAB20105

• abiglizi/OTFS_MMSE

  Language:MATLAB17202

• gauravduggal/OTFS_code

  OTFS modulation developed for SDR project

  Language:MATLAB17103

• agoyalaman/otfs

  Language:MATLAB14009

• NagireddychandramouliReddy/OTFS

  Implemented a 2 X 2 MIMO OTFS system and analysed the performance metrics under channel fading conditions.

  Language:MATLAB13101

• ShowStopperTheSecond/SAR-Image-Despeckling-Using-CNN-

  An implementation of the paper SAR Image Despeckling Using a Convolutional Neural Network by Puyang Wang,

  Language:Jupyter Notebook13251

• ThunderStruct/HiveNAS

  A powerful and adaptive Neural Architecture Search framework based on Artificial Bee Colony optimization

  Language:Python7114

• vibhutesh/AFTvsOTFS

  Language:MATLAB61013

• Jaza-Abdullah/FDO-Java

  this is a MATLAB implementation of a novel swarm intelligent algorithm, known as the fitness dependent optimizer (FDO). The bee swarming reproductive process and their collective decision-making have inspired this algorithm; it has no algorithmic connection with the honey bee algorithm or the artificial bee colony algorithm. It is worth mentioning that FDO is considered a particle swarm optimization (PSO)-based algorithm that updates the search agent position by adding velocity (pace). However, FDO calculates velocity differently; it uses the problem fitness function value to produce weights, and these weights guide the search agents during both the exploration and exploitation phases. FDO is tested on a group of 19 classical benchmark test functions, and the results are compared with three well-known algorithms: PSO, the genetic algorithm (GA), and the dragonfly algorithm (DA), additionally, FDO is tested on IEEE Congress of Evolutionary Computation Benchmark Test Functions (CEC-C06, 2019 Competition) The results are compared with three modern algorithms: (DA), the whale optimization algorithm (WOA), and the salp swarm algorithm (SSA). The FDO results show better performance in most cases and comparative results in other cases. implementation of the mentioned Benchmark function is exist in the code.

  Language:Java5102

• marcush1022/Artificial-Bee-Colony-Algorithm

  人工蜂群算法的Matlab实现

  Language:MATLAB5013

• tianxiangyi/MATLAB-ABC-Algorithm

  MATLAB ABC Algorithm

  Language:Matlab4301

• poposhi/matlab_Artificial-bee-colony

  Language:MATLAB1000

• Yash-Vardhan-Maurya/ABC_algorithm_MATLAB

  Artificial Bee Colony Optimization Using MATLAB

  Language:MATLAB110