Rui-ops / Intelligent-model-of-Communication-system-simulation-based-on-auto-encoding-deep-learning-View on GitHub
Used a Generative Adversarial Network(GAN) to simulate a optical communication system; Applying auto-encoding deep-learning method to build an Intelligent model of Communication system in order to improve its information rate and symbol coding method; laying a good foundation for the development of intelligent fiber communication systems;
☆12Feb 4, 2021Updated 5 years ago
Alternatives and similar repositories for Intelligent-model-of-Communication-system-simulation-based-on-auto-encoding-deep-learning-
Users that are interested in Intelligent-model-of-Communication-system-simulation-based-on-auto-encoding-deep-learning- are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Machine learning for optical communication over a dispersive fiber☆45Aug 25, 2020Updated 5 years ago
- Just a FSOC link simulator written in Matlab with an interactive UI to change parameters and check the system response.☆17Sep 22, 2024Updated last year
- This project shows the code for an automated training dataset collection system of a 915km 12 span optical communication system. To real…☆20Jul 7, 2021Updated 4 years ago
- Scripts for photonics devices and optical communication systems simulations☆18Oct 24, 2016Updated 9 years ago
- A library modeling the fiber-optic channel governed by nonlinear schrödinger equation, accompanied with TX and RX DSP chain implementatio…☆24Oct 27, 2022Updated 3 years ago
- Machine Learning and Optimization for Communications Systems☆14Mar 9, 2026Updated 2 weeks ago
- Simulation code for "Tractable Approach to MmWaves Cellular Analysis With FSO Backhauling Under Feedback Delay and Hardware Limitations,"…☆12Jun 4, 2021Updated 4 years ago
- Numerical simulation platform to evaluate the performances of a 480 Gb/s optical coherent communication system using different advanced t…☆12Sep 2, 2020Updated 5 years ago
- ☆46Mar 14, 2019Updated 7 years ago
- End-to-end optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search☆14Feb 13, 2024Updated 2 years ago
- PyTorch examples accompanying the ECOC 2020 invited presentation about end-to-end learning in optical communications☆15Nov 26, 2020Updated 5 years ago
- ☆13Oct 28, 2022Updated 3 years ago
- Our project is based on one of the most important application of machine learning i.e. pattern recognition. Optical character recognition…☆12Jul 30, 2024Updated last year
- A matlab coding framework and component library for simulation and experimental analysis of optical communication systems☆70Jun 14, 2019Updated 6 years ago
- ☆12Nov 18, 2021Updated 4 years ago
- Detailed code used for researching machine learning for carrier frequency offset☆11Dec 12, 2020Updated 5 years ago
- This project first presents a coherent signal demodulation method based on generative adversarial networks (GAN), called a phase demodula…☆12Feb 5, 2021Updated 5 years ago
- Generate a Deep Neural Network for Equalization of Optical channels☆16Aug 12, 2021Updated 4 years ago
- Neural network channel equalizer for wireless signals☆13Dec 7, 2016Updated 9 years ago
- Optical Fiber Communication lab/experiments processing scripts☆35Nov 11, 2018Updated 7 years ago
- Deepcode: Feedback Codes via Deep Learning, by Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, and Pramod Viswanath☆21Jul 2, 2018Updated 7 years ago
- This code aims to reconstruct the original BGS by using a compressed sensing method based on K-SVD algorithm.☆10Oct 6, 2022Updated 3 years ago
- Simulation files for Topics in Wireless Communications.☆15May 24, 2020Updated 5 years ago
- This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications☆20Dec 16, 2018Updated 7 years ago
- A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks☆19Jan 21, 2022Updated 4 years ago
- An Introduction to Deep Learning for the Physical Layer vs End-to-End Learning of Communications Systems Without a Channel Model☆16Nov 22, 2022Updated 3 years ago
- End-to-end learning of optical communication systems☆134Nov 15, 2020Updated 5 years ago
- ☆17Mar 9, 2021Updated 5 years ago
- Official Code for DragGAN (SIGGRAPH 2023)☆18Jun 26, 2023Updated 2 years ago
- [code] “A Deep Learning Model for Wireless Channel Quality Prediction”. By J. Dinal Herath, Anand Seetharam, Arti Ramesh. In: IEEE Intern…☆23Sep 29, 2021Updated 4 years ago
- A simple Python-based open source software library for the numerical simulation of the linear or nonlinear time-dependent Schrödinger equ…☆42Jul 3, 2018Updated 7 years ago
- Simulation code to support the lectures of the course of Optical Communications at the Electrical Engineering Department of the Federal U…☆47Updated this week
- Generalized Nonlinear Schrodinger Equation based simulation of nonlinear broadening of ultrashort pulses in optical fibers.☆41Apr 24, 2021Updated 4 years ago
- This repo provides an implementation of a Variational Autoencoder (VAE) based equalizer. This includes a simulation environment with an A…☆31Jun 15, 2022Updated 3 years ago
- Short refresher of image processing in Python (OpenCV, numpy). Reading, writing, filtering (convolutions), computation of derivatives, et…☆13May 17, 2021Updated 4 years ago
- matlab code for computational imaging lecture☆13Updated this week
- Transfer any image to an artistic image by using Convolutional Neural Network☆14May 2, 2019Updated 6 years ago
- A framework for computational imaging of panoramic annular lens.☆15Sep 25, 2023Updated 2 years ago
- Easy install, Ultra-lightweight secure AI assistant. Inspired by OpenClaw. 🦀☆55Feb 5, 2026Updated last month