Real-Time Inference of 5G NR Multi-user MIMO Neural Receivers

Training code for FAcodec presented in NaturalSpeech3

Models and code for RepCodec: A Speech Representation Codec for Speech Tokenization

This repository contains the source code used for simulations of a paper I wrote together with my colleagues.

Minimal Diffusion

Coding for Interference Channels via Deep Learning

Source code of the paper titled "Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack"

Quasi-Cyclic Short Packet Orange repository is the code to replicate the results provided in the deliverable “D2.5b_OFDM-CCSK”

Ultra-low bitrate neural audio codec (0.31~1.40 kbps) with a better semantic in the latent space.

"Simulations for the paper 'Deep Learning for Channel Coding via Neural Mutual Information Estimation' by Rick Fritschek, Rafael F. Schaefery, and Gerhard Wunder"

Code for "Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image Transmission", Arxiv

SΩI: Score-based O-INFORMATION Estimation

MATLAB codes for Analog and Digital Communication

Research on optical communication systems

Compares FBMC to OFDM based schemes. Reproduces all figures from “Filter bank multicarrier modulation schemes for future mobile communications”, IEEE Journal on Selected Areas in Communications, 2017.

FBMC Transmitter and Receiver with Synchronization in Frequency Domain and adaptive Spectrum Usage

Denoising Diffusion Error Correction Codes

Quantum error correction code AI-discovery with Jax

Hackathon for 300 bps vocoder

Multi-Agent Deep Reinforcement Learning (MA-DRL) Routing Simulator for satellite networks

A

KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)

An implementation in Fortran and C of the LPC-10 2400 bits-per-sec speech codec

Results submitted to ICASSP 2020 for the paper titled "Joint Coding and Modulation in the Ultra-Short Blocklength Regime for Bernoulli-Gaussian Impulsive Noise Channels Using Autoencoders"