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Simulation tool that utilises a Fourier domain adaptive optics model to enable rapid Monte Carlo characterisation of free space optical links between the Earth and satellites
This is the repository for the collection of open source code and data for satellite communication.
Just a FSOC link simulator written in Matlab with an interactive UI to change parameters and check the system response.
Repository for the IAF Space Communications and Quantum Symposium presentation titled "Advancing Free-Space Optical Communication System Architecture: Performance Analysis of Diverse Optical Ground…
A fully explaned MATLAB code for simulating a free-space optical (FSO) communication system featuring channels loss, pointing error, turbulence, fog/smoke condition comparing with all analystical s…
Source codes of the study entitled "On Outage Analysis of OTFS Based LEO-Satellite Systems With HAPS Relaying"
Some traditional multi-user communication methods as the baseline compared with semantic communication, including JPEG-LDPC-BPSK-NOMA, JPEG-LDPC-QAM-CDMA
Pytorch code for IEEE WCL paper "Learnable Residual-based Latent Denoising in Semantic Communication"
About Implementation of paper "Topology data analysis-based error detection for semantic image transmission with incremental knowledge-based HARQ".
Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence
source code for "Non-Orthogonal Multiple Access Enhanced Multi-User Semantic Communication"
Official Repository for VCIP'24 paper "LMM-driven Image-Text Coding for Ultra Low-bitrate Learned Image Compression"
[IEEE TIP 2024] Ultra-low Bitrate Image Semantic Compression Driven by Large Multimodal Model
Hyper Graph Network Decoders for Block Codes
Exercise for Lecture 1 in deepcomm blog (deepcomm.github.io)
High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation
[CSUR] A Survey on Video Diffusion Models
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
DVC: An End-to-end Deep Video Compression Framework, CVPR 2019 (Oral)
codebase for Lossy Image Compression with Conditional Diffusion Models
This is a pytorch implementation of diffusion models-based image transmission systems.
Unofficial pytorch implementation of CVPR2022 papar "ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding"