Metadata-Version: 2.1
Name: whatshow_phy_mod_otfs
Version: 2.1.12
Description-Content-Type: text/markdown

# OTFS Modulation
[![Github](https://img.shields.io/badge/Github-2.1.12-grey)](https://github.com/whatshow/Phy_Mod_OTFS) [![PyPi](https://img.shields.io/badge/PyPi-2.1.12-blue)](https://pypi.org/project/whatshow-phy-mod-otfs/) [![MathWorks](https://img.shields.io/badge/MathWorks-2.1.12-red)](https://mathworks.com/matlabcentral/fileexchange/161136-whatshow_phy_mod_otfs)

This repository is a fundamental toolbox of OTFS modulation crossing `matlab` and `python`. **If you use our work, you should use the following citation to refer it**:
> X. Qu, A. Kosasih, W. Hardjawana, V. Onasis and B. Vucetic, "Bayesian-based Symbol Detector for Orthogonal Time Frequency Space Modulation Systems," *2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)*, Helsinki, Finland, 2021, pp. 1154-1159, doi: 10.1109/PIMRC50174.2021.9569353.

> A. Kosasih, X. Qu, W. Hardjawana, C. Yue and B. Vucetic, "Bayesian Neural Network Detector for an Orthogonal Time Frequency Space Modulation," in *IEEE Wireless Communications Letters*, vol. 11, no. 12, pp. 2570-2574, Dec. 2022, doi: 10.1109/LWC.2022.3209076.

> H. Chang, A. Kosasih, W. Hardjawana, X. Qu and B. Vucetic, "Untrained Neural Network based Bayesian Detector for OTFS Modulation Systems," *IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)*, Hoboken, NJ, USA, 2023, pp. 1-6, doi: 10.1109/INFOCOMWKSHPS57453.2023.10225901.

